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Qure.ai Recognized Among TIME’s 100 Most Influential Companies of 2025

Qure.ai partners with Microsoft to increase access to its lung cancer detection and management suite in the U.S.

qTrack

The "X-rays on Wheels" case study by STDC Nagpur focuses on a TB screening initiative targeting tribal communities in Maharashtra, who have a significantly higher TB prevalence than the national average.

In December 2019, STDC introduced a mobile medical van equipped with an X-ray machine to reach remote tribal areas. However, delays in diagnosis and treatment occurred due to the absence of on-site radiologists, extending the turnaround time for sputum collection to over 1.5 months. To address this, STDC Nagpur partnered with Qure.ai in January 2023, integrating qXR, the AI-powered chest X-ray screening solution,  which identified presumptive or abnormal cases from X-rays in real-time. This significantly reduced the turnaround time from 1.5 months to one week.

During the project, over 6,500 X-rays were conducted across 16 districts, with 730 cases flagged as abnormal and 728 individuals marked as TB presumptive. The collaboration not only expedited TB detection but also helped identify other chest abnormalities, enhancing overall healthcare in these vulnerable communities. This partnership between STDC and Qure.ai has transformed the screening process, improving efficiency and outcomes for TB management in tribal regions.

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Qure.ai’s AI Transforms TB Screening in Tribal Communities

Qure.ai, in collaboration with Health Through Walls (HtW), has implemented an AI-powered TB screening solution in prisons across Haiti, the Central African Republic (CAR), and Mozambique. This initiative addresses the critical health challenges faced in overcrowded and resource-limited correctional facilities, where TB is a major risk due to poor sanitation and ventilation.

Traditionally, TB screenings in these prisons relied on radiologists located remotely, causing significant delays. Qure’s AI solution - qXR - has transformed the screening process by enabling rapid interpretation of chest X-rays. In 2022, over 5,000 inmates were screened in five Haitian prisons. Of these, 852 individuals were flagged for abnormal lung findings by the AI system, with 544 confirmed TB cases following microbiological testing.

The AI-powered solution greatly reduced the diagnosis time from one week to less than a minute, facilitating faster isolation and treatment, thus reducing the spread of TB within prisons and surrounding communities. The qXR tool, CE MDR Class IIb certified and WHO-evaluated, detects multiple lung abnormalities, including TB and lung cancer, ensuring comprehensive lung health screening.

This partnership between Qure and HtW demonstrates the potential of AI to revolutionise TB eradication efforts, especially in vulnerable populations. By providing timely TB detection in prisons, Qure’s AI solution is helping to save lives and improve public health in regions with limited access to radiologists.

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Healthcare Screening in Prisons with AI

South Africa faces a severe TB crisis, with 280,000 cases and 54,000 deaths annually. The situation is complicated by high HIV prevalence, limited healthcare access, and medical personnel shortages. Factors such as poverty, inequality, malnutrition, smoking, and silicosis contribute to the high TB prevalence.&nbsp;

The AI-Assisted TB Screening Collaboration&nbsp;

The KwaZulu-Natal Department of Health collaborated with USAID, THINK, LTE Medical Solutions, and Qure.ai to enhance TB diagnosis using AI-augmented portable X-ray machines in mobile vans. The program screened 6,500 individuals in its first six months, identifying 187 TB cases that might have been missed. AI offers faster turnaround times, higher accuracy, and the ability to diagnose TB without radiologists.&nbsp;

Benefits of AI in TB Diagnosis&nbsp;

Digital X-ray augmented by AI allows for timely diagnosis and treatment initiation, particularly in rural areas and for HIV-positive patients. Community outreach events encourage TB screening, and AI-assisted X-rays identify asymptomatic patients in hotspot areas. Health officials are optimistic about scaling the program and expanding its use to diagnose other diseases.&nbsp;&nbsp;

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How AI is Turning the Tide Against Tuberculosis in South Africa

In the heart of Uttar Pradesh's Bundelkhand region, Harriet Benson Memorial Hospital has been a cornerstone of healthcare since 1940. Specializing in maternal and child health, this 40-bed facility has continuously adapted to meet the evolving needs of its community. Recently, the hospital faced a significant challenge in diagnosing and managing tuberculosis (TB) effectively, leading to an innovative collaboration that's changing the landscape of TB detection.

Enter Qure.ai, a pioneering AI company that received a grant from the India Health Fund (IHF) to revolutionize TB diagnosis. Their solution? A point-of-care, smartphone-based chest X-ray tuberculosis triage system for both analog and digital X-rays. This groundbreaking technology allows for instant screening of chest X-ray films via smartphone photographs, marking a significant leap in diagnostic capabilities.

Harriet Benson Hospital integrated Qure's qXR + qTrack system, providing AI-powered pre-read assistance for TB detection. The impact was immediate and profound. The qTrack system delivered AI analysis results within a minute to technicians' smartphones, significantly accelerating TB diagnosis and treatment initiation.

The integration of this AI solution into the hospital's existing workflow was seamless, enhancing diagnostic procedures without disrupting established protocols. This allowed clinicians to maintain their focus on patient care while benefiting from AI efficiency. The results speak for themselves: diagnosis timelines were reduced from days to minutes, leading to quicker treatment commencement and improved patient outcomes.

The technology proved particularly valuable during the COVID-19 pandemic, facilitating efficient diagnosis amidst a surge in cases and limited medical practitioners. The hospital's regular caseload of 3 to 4 TB cases per week saw expedited diagnosis and intervention, ultimately benefiting patients.

By March 28, 2023, the partnership's impact was clear: out of 300 patients screened, Qure's AI solution identified 46 as potential TB cases. Subsequent tests confirmed 12 diagnoses, with these patients promptly beginning Anti-Tuberculosis Treatment (ATT).

This collaboration between Harriet Benson Memorial Hospital and Qure.ai sets a new standard for TB management and care. It demonstrates the transformative potential of AI in healthcare, especially in resource-constrained settings. The success of this partnership paves the way for wider adoption of AI solutions in healthcare, promising improved patient care even in the face of global health challenges.

As we look to the future of healthcare, the story of Harriet Benson Hospital and Qure.ai serves as a powerful example of how innovation and collaboration can drive meaningful change. To learn more about this groundbreaking initiative and its far-reaching impact, download the study below to read more.

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Qure.ai & Harriet Benson: AI-Powered TB Care Transformation

AI presents a significant opportunity to enhance the use of Chest X-rays (CXRs), particularly for active case finding for tuberculosis. While adoption is growing, especially in developing nations, it's still in its early stages and heavily dependent on donor funding.

This proposed AI CXR Index aims to guide stakeholders in prioritising and promoting adoption tailored to each country's needs. Analysis reveals key drivers, including the extent of need, intent, and ability to roll out AI. Recommendations are provided for stakeholders to facilitate adoption and effectiveness.

Through comprehensive analysis, four key dimensions driving the use of AI for CXRs have been identified: the extent of need, level of awareness, intent, and interest, and the ability to roll out AI technology. These dimensions encompass various factors, such as the shortage of radiologists, awareness among decision-makers, infrastructure availability, and regulatory frameworks.

Countries were further categorised into five archetypes based on their scores, ranging from Frontrunners ready for scale to Skeptics with the ability but lacking intent. This classification facilitates tailored support from stakeholders to each group of countries.

Lastly, several recommendations have been articulated for key stakeholders, including AI and hardware companies, donors, multilaterals, and high TB-burden countries, aimed at fostering greater adoption and effectiveness of AI for CXRs.

Fill the form for full report

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AI Adoption for X-rays : A roadmap for future

In the heart of southern Africa, nestled within the rugged mountains of Lesotho, a quiet revolution is unfolding in the realm of healthcare. This transformation is spearheaded by an extraordinary collaboration between Partners In Health (PIH), the Ministry of Health of Lesotho, and Qure.ai, a trailblazer in artificial intelligence (AI) solutions for healthcare. United by a shared vision to combat tuberculosis (TB) and elevate healthcare standards nationwide, this partnership is a beacon of hope for a nation grappling with a high disease burden amidst limited resources.

Lesotho, a kingdom steeped in natural beauty and cultural richness, has long been confronted with formidable healthcare challenges. The high prevalence of TB, compounded by a scarcity of medical professionals and infrastructure, has cast a shadow over the lives of countless individuals and communities. However, the unwavering dedication of PIH and its partners has ignited a spark of change, illuminating a path towards a brighter, healthier future.

At the forefront of this transformative journey, PIH has embraced the power of innovation to address Lesotho's critical healthcare needs head-on. By implementing comprehensive programs focused on the national diagnosis, treatment, and supportive care for multi-drug-resistant tuberculosis (MDR-TB), PIH is revolutionizing the landscape of TB care in the country. These initiatives are not merely stopgap measures; they represent a fundamental shift in ensuring access to life-saving services for the most vulnerable populations, those who have long been left behind by traditional healthcare systems.

The cornerstone of this healthcare revolution lies in the groundbreaking partnership with Qure.ai, a visionary in the field of AI-powered healthcare solutions. Qure.ai's cutting-edge qXR algorithm has emerged as a game-changer in the fight against TB, enabling early detection and rapid intervention. By harnessing the power of AI, this technology has become the backbone of community screening programs across seven crucial locations in Lesotho: Bobete, Nkau, Nohana, Tlhanyaku, Lebakeng, Mafeteng, and Qacha's Nek.

The impact of the qXR algorithm since its implementation in July 2022 is nothing short of remarkable. With over 6,000 scans processed, the AI-powered system has identified approximately 1,100 individuals with potential TB cases, paving the way for further confirmatory testing against the gold standard – GeneXpert. This achievement is a testament to the transformative potential of leveraging technology in healthcare, offering a glimmer of hope for a TB-free future in Lesotho.

But the significance of this healthcare revolution extends far beyond the realm of statistics and algorithms. It is a story of resilience, of communities coming together to overcome seemingly insurmountable odds. It is a tale of dedicated healthcare workers, tirelessly working on the frontlines to bring care and compassion to those who need it most. And it is a narrative of empowerment, as individuals and families are given the tools and knowledge to take charge of their own health and well-being.

As we delve deeper into this case study, we uncover the intricacies of strategic partnerships and the power of technological innovation in reshaping healthcare landscapes. The collaboration between PIH, the Ministry of Health of Lesotho, and Qure.ai serves as a shining example of what can be achieved when diverse expertise and resources are brought together in the pursuit of a common goal. It is a model for global health initiatives, demonstrating that by harnessing the potential of AI and fostering strong partnerships, we can make significant strides towards eliminating tuberculosis and enhancing overall health outcomes.

The story of Lesotho's healthcare revolution is one of hope, determination, and the unyielding human spirit. It is a reminder that even in the face of daunting challenges, change is possible when we dare to dream, innovate, and collaborate. As we witness the transformative impact of AI-powered solutions like Qure.ai's qXR algorithm, we are inspired to envision a future where access to quality healthcare is not a privilege, but a fundamental right for all.

In the mountains of Lesotho, a quiet revolution is indeed unfolding – a revolution that holds the promise of a brighter, healthier tomorrow. With each scan processed, each potential TB case identified, and each life touched by this innovative approach to healthcare, Lesotho moves closer to turning the tide against tuberculosis and rewriting its health narrative. And as the world watches, this small nation in southern Africa stands tall, a beacon of hope and a testament to the transformative power of AI in the quest for global health equity.

For full case study

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Transforming Healthcare in Lesotho with AI: A Case Study on Combating Tuberculosis 

This guide is dedicated to advancing lung health diagnostics through AI-enabled chest X-ray screening, bringing this innovative approach to the forefront of primary healthcare.

Chest X-rays, as recommended by the WHO, are a cornerstone in detecting common lower respiratory diseases such as pneumonia, TB, and COPD, particularly in primary care environments. Despite their widespread availability, the interpretation of these X-rays necessitates specialized radiologists, a resource that is markedly scarce in many global regions. This shortage not only impedes timely diagnosis but also escalates treatment costs and increases mortality risks.

Recognizing the critical need for skilled professionals, advanced diagnostic facilities, and the right technological tools, Qure's TB Reach Wave 11 initiative has been meticulously designed to simplify your decision-making process in selecting the most effective diagnostic tools. Our focus on artificial intelligence (AI) offers a pathway to assist clinicians in expediting diagnosis, thereby diminishing the duration and complexity of both investigation and treatment.

Explore the transformative potential of AI in enhancing your lung disease detection capabilities. We invite you to access our comprehensive support document and join us in this pivotal journey towards improved healthcare outcomes.

Fill out the form below for the full document:

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Qure.ai: TB REACH Wave 11 Support Document

In the diverse landscape of India, a tale of two cities unfolds, separated by a mere 390 kilometers yet worlds apart in their realities. Mumbai, the bustling metropolis, stands tall with its glittering skyline, a symbol of India's economic might. In stark contrast, Chinchpada, nestled in the remote tribal lands of Maharashtra, paints a picture of development challenges and healthcare disparities. Yet, despite the chasm of their economic circumstances, both face a common enemy: the relentless onslaught of COVID-19 and the ancient scourge of Tuberculosis (TB).

Amidst this narrative of contrasts, a glimmer of hope emerges, powered by the transformative potential of Artificial Intelligence (AI). Enter Qure.ai, a trailblazer in AI-driven healthcare solutions, armed with its innovative chest X-ray screening tool, qXR. Born from the visionary SAMRIDH Grant, a collaborative endeavor between USAID and IPE Global, qXR holds the promise of swift TB detection, delivering results within mere minutes.

The brilliance of qXR lies not just in its technical prowess, but in its ability to bridge the divide between the disparate healthcare landscapes of Mumbai and Chinchpada. In the crowded clinics of Mumbai, where the pulse of the city thrums with urgency, qXR steps in as a silent guardian, swiftly identifying the telltale signs of TB amidst the chaos. Equally impressive is its impact in the sparse healthcare facilities of Chinchpada, where resources are scarce, and medical expertise is often stretched thin. Here, qXR becomes a beacon of hope, empowering clinicians to make accurate diagnoses and deliver timely care to those who need it most.

On the frontlines of this battle against TB, clinicians bear witness to the transformative power of qXR. Once overwhelmed by the sheer volume of patients and the complexity of diagnosis, they now speak of renewed hope and empowerment. With qXR by their side, they can swiftly identify those in need of immediate attention, ensuring that no one slips through the cracks. The impact of this technology extends beyond mere numbers; it is reflected in the smiles of those who have been given a second chance at life, and in the renewed determination of healthcare workers to fight the good fight.

As the story of Mumbai and Chinchpada transpires, Qure.ai's AI solution stands as a testament to the power of technology to bridge gaps and shatter barriers. It seamlessly integrates into the diverse healthcare settings of these two cities, adapting to their unique challenges and proving that innovation knows no boundaries. With each successful diagnosis, with each life saved, qXR reinforces the notion that AI is not just a tool, but a catalyst for change, a great equalizer in the face of health disparities.

This is a story of hope, of resilience, and of the indomitable human spirit. It is a tale of how technology can be harnessed to combat healthcare inequities, to bring light to the darkest corners, and to ensure that no one is left behind. As we bear witness to this transformative journey, we are reminded that the future of healthcare lies in the hands of those who dare to dream, those who seek to harness the power of innovation for the greater good.

So let us embark on this journey together, and bear witness to the unfolding of a new chapter in India's healthcare narrative. Let us celebrate the triumph of AI over adversity, and let us be inspired by the countless lives that have been touched by its transformative power. For in the end, this is not just a story of technology, but a testament to the resilience of the human spirit, and the unwavering commitment to building a healthier, more equitable world.

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A tale of two cities: AI for Health Equity

In the tapestry of Eastern India lies Bihar's Purnia District, a land where tales of human resilience are woven amidst the threads of overwhelming healthcare adversities. Here, in a region where incomes hover at a mere USD 5 per month, the specter of poverty looms large, casting its shadow over every aspect of life. Yet, amidst this landscape of chronic impoverishment, a glimmer of hope emerges, illuminating a path towards change and progress.

At the heart of this transformation is the Christian Medical Centre and Hospital (CMCH), an oasis of compassion and dedication in a desert of healthcare disparities. Led by the indomitable Dr. Alexander Philip, who has chosen to dedicate his medical expertise to the people of Purnia, CMCH stands as a bulwark against the onslaught of disease and despair.

But even as Dr. Philip and his team battle against the scourge of Tuberculosis (TB) and the shadow of COVID-19, they find an unlikely ally in the form of Artificial Intelligence (AI). Through a groundbreaking collaboration born of the SAMRIDH Grant, Qure.ai has deployed its cutting-edge AI solution, qXR, at CMCH Purnia. This powerful tool, designed to detect TB faster and more accurately than ever before, is a beacon of hope in a region where the doctor-patient ratio is staggeringly skewed.

The impact of qXR is already being felt, with over 2,500 X-rays processed seamlessly in the early stages of the initiative. From these scans, a staggering 299 TB-presumptive patients have been identified, a testament to the power of early detection and the potential for AI to transform healthcare at the grassroots level.

But the reach of this initiative extends far beyond the walls of CMCH. In school compounds and community hubs across Purnia, the qXR technology is being put to work, screening children and educating communities about the insidious threat of TB. Through engaging skits and songs performed in the local dialect, the essence of medical innovation is being woven into the fabric of Purnia's culture, demonstrating the transformative power of technology when it is paired with compassion and understanding.

As we journey deeper into Purnia's story, we see a tale of resilience and hope emerging from the shadows of adversity. The partnership between SAMRIDH and Qure.ai is more than just a technological breakthrough; it is a reminder that even in the face of the most daunting challenges, change is possible when we harness the power of innovation and collaboration.

Through the lens of Purnia, we see a microcosm of the global fight against TB, a disease that has long preyed upon the most vulnerable among us. But we also see a glimmer of what is possible when we combine the power of AI with the dedication of healthcare workers like Dr. Philip. In the heartlands of Bihar, a revolution is taking place, one that has the potential to reshape the landscape of TB detection and treatment not just in India, but around the world.

Let us embark upon this journey together, and bear witness to the incredible story unfolding in Purnia. Let us marvel at the power of AI to transform lives, and let us be inspired by the resilience and determination of those who have dedicated themselves to the fight against TB. In doing so, we will not only gain a deeper understanding of the challenges that lie ahead, but also a renewed sense of hope for a future where no one is left behind in the battle against disease.

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AI helps overcome healthcare challenges in Bihar

AI-based chest X-ray (CXR) screening for tuberculosis (TB) is gaining traction but faces significant real-world challenges in implementation, such as software setup, integration into workflows, network connectivity issues, and a shortage of healthcare personnel. To tackle these issues, PATH initiated a TB screening program in Nagpur, India, utilizing qXR, an AI software tool, across eight private CXR labs that met specific technical prerequisites. The program revealed valuable insights into the operational feasibility of AI deployment in resource-limited settings, highlighting the strategies needed to overcome logistical hurdles.

Throughout the <a href="https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000404">program</a>, 10,481 individuals were screened based on clinical history, resulting in 2,303 flagged as presumptive TB cases by either AI or radiologists. Thanks to AI, there was a 15.8% increase in TB case detection compared to traditional screening methods alone. This increase underscored the effectiveness of AI as a complementary diagnostic tool, especially in settings with limited healthcare resources.

TB continues to be a major public health issue in India, which reports nearly a third of the world’s TB cases. With India’s goal to eliminate TB by 2025, innovative approaches to diagnostics and patient care are crucial. Although CXRs are a recommended screening tool in India, limitations in resources—such as a shortage of radiologists—make consistent implementation difficult. AI solutions like qXR from Qure.ai, designed to assist in identifying TB signs in CXR images, offer promise but must overcome practical barriers in integration and use in diverse healthcare settings.

The Nagpur screening program encountered several technical and operational challenges that were addressed through strategic adaptations. Basic infrastructure, including internet access and compatible systems, proved critical for smooth AI software installation and operation. Initial reluctance from local radiology associations, driven by unfamiliarity with AI, was overcome through educational sessions, transparency, and consistent engagement with stakeholders, which ultimately built trust and acceptance of the new technology. Additionally, flexible technical setups allowed labs to address privacy concerns while accommodating AI functionality. By working closely with local partners, PATH was able to implement qXR in a way that respected the needs and limitations of each lab, leading to improved screening outcomes.

Overall, the increased TB detection rate achieved through the use of AI screening underscores the potential of AI-based tools to transform TB screening in India and other high-burden areas. However, broader deployment of these tools will require carefully designed solutions to address the real-world challenges of workflow integration, infrastructure compatibility, and stakeholder acceptance. This experience shows that with the right approach, AI can be a powerful asset in advancing TB care, particularly in resource-constrained environments.

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Introducing AI Toolkit: Simplifying AI deployments for TB Programs

No country aspires to be known for a high tuberculosis infection rate. But, unfortunately, Nigeria’s tuberculosis numbers are soaring rapidly, ranking third in the world, only behind India and China. Annually, the West African nation sees 590,000 new tuberculosis cases, and 245,000 Nigerians die of the disease every year.&nbsp;&nbsp;&nbsp;

Tuberculosis places an enormous burden on Nigeria’s public health system. Recognizing this, the National Tuberculosis and Leprosy Control Programme (NTBLCP) was set up in 1989. Multiple strategies have been implemented at the community and facility levels in public and private healthcare units. However, the system has yet to overcome the hurdles of low population coverage, lack of accessibility, inadequate resources, and delay in treatment.&nbsp;&nbsp;&nbsp;

Qure.ai, Fujifilm, and Omnia Health came together to organize a webinar on&nbsp;“Accelerating TB screening in rural communities using AI-powered technology."&nbsp;The aim was to capture how the three organizations had come together to use technology for Active case finding and how they are making a difference in the lives of people in rural Africa.&nbsp;&nbsp;&nbsp;

The distinguished panel of global speakers shared their experiences deploying mobile health tech and AI in parts of rural Nigeria struggling with little healthcare access.&nbsp;&nbsp;

The recent partnership between the Institute of Human Virology in Nigeria (IHVN), Fujifilm Healthcare Middle East &amp; Africa, and Qure.ai has been an innovative game-changer in the fight against tuberculosis.&nbsp;&nbsp;

Dr. Ronke Vivian Agbaje explained the problem –&nbsp;“In the past, our efficiency targets were not being met. We had partners who have worked with AI, and it has worked for them. So, we got four portable X-ray machines integrated AI. It improved our efficiency. We can now target our screenings better, and access has improved. We have also been able to detect other lung health issues in our patients, apart from TB."&nbsp;

According to Dr. Shibu Vijayan of Qure.ai- “The transmission chain is being cut via the usage of AI. Partnerships like this are critical to achieving the Global TB Target. Post-pandemic, technology is bridging the gap, and this partnership will ensure we achieve it humanely and cost-effectively. The efficiency brought in by AI for time, resources, and the cost is unmatched by other strategies implemented in the past."&nbsp;qXR's prowess lies in its ability to detect and identify 30 distinct findings in a chest X-ray and monitor the rate of disease progression. In addition, it has been CE-certified and FDA-approved, and independent studies by the World Health Organization (WHO) have validated Qure's solutions.&nbsp;&nbsp;&nbsp;

This partnership undoubtedly brings excellent value to Nigeria’s public health setup. Leveraging the portability of the handheld digital X-ray machine can bring the health system to the patient, who can then be diagnosed at the point of care. This eases the patient's mobility and connects them to the treatment pathway faster. In addition, mass testing and active screening expedite tuberculosis detection, treatment, and notification.&nbsp;

Within Nigeria, the Xair device embedded with the qXR AI solution has been deployed in twelve states, covering rural areas and vulnerable communities. Dr.&nbsp;Bethrand&nbsp;Odume said,&nbsp;“The resources are minimal. We are using this to do screenings in prisons. We can take it to the doorsteps of patients, and that plays a big role in bridging the gap in healthcare."&nbsp;

Besides providing accurate diagnosis of chest abnormalities, Qure’s AI solution reduces the disease’s reporting turnaround time to less than one minute. This assists radiologists in reducing their workload and gives them room to connect to other radiologists for discussion or review. Moreover, qXR minimizes the need for confirmatory tests like CBNAAT or sputum tests.&nbsp;&nbsp;&nbsp;

One of the reasons for this efficiency is the opportunity for early diagnosis that AI screening enables. Before disease manifestation, the algorithm can pick up on abnormalities and reduce tuberculosis’s communicability and transmission. Furthermore, by carefully mapping the hotspot areas within the country, they can do targeted screening within the population and increase coverage. As simple as it may sound, this creates a revolutionary push to improve the overall lung health of people.&nbsp;&nbsp;&nbsp;

“There is a huge gap around trained manpower across the world. We are still fighting against TB. Africa's Fujifilm and Qure.ai association is a good example of how a large corporation and a startup can make a difference. A product innovator can join hands with a corporate that now wants to spend a lot of time on innovation. And it makes a big synergetic impact. It is impactful in private healthcare as well,"&nbsp;said Naresh Hasija.&nbsp;&nbsp;&nbsp;

“It has been phenomenal to see how much impact AI can make. Fujifilm can provide a portable x-ray device embedded with this AI. Qure.ai is a peer-reviewed solution. We are now able to see this partnership evolve. It is being applied in rural communities, and the plan is to increase access and proximity to these devices. Being able to provide more devices to more people will be our future,"&nbsp;shared Godspower Asika.&nbsp;&nbsp;&nbsp;

At the root of every public health strategy implementation is the drive to make the system efficient, patient-oriented, and accessible without compromising quality. A competent patient management system integrated with innovative solutions can significantly accelerate the population's health goals. Qure.ai's partnership with Fujifilm and IHVN is a testament to these aims, making a significant difference in the fight against the tuberculosis epidemic.&nbsp;

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Accelerating TB screening in rural communities using AI-powered technology

The Philippines has long been at the forefront of the fight against tuberculosis (TB), with the Philippine Business for Social Progress (PBSP) playing a key role in TB control management for over two decades. The Advancing Client-centered Care and Expanding Sustainable Services for TB (ACCESS TB) project, funded by The Global Fund to Fight Aids, Tuberculosis, and Malaria, aims to further reduce TB prevalence, incidence, and mortality by providing comprehensive quality TB care to Filipinos.

A crucial component of the ACCESS TB project was the deployment of mobile vans equipped with X-ray machines and AI-enabled software for the interpretation of chest radiographs. These vans, manned by trained radiographers and health workers, were intended to screen presumptive TB cases and individuals with high-risk factors by running them across different cities in the Philippines.

The ACCESS TB project has gone beyond just screening and diagnosis. It has also provided diagnostics and treatment services for both drug-susceptible and multidrug-resistant TB (MDR-TB) cases, expanding access to hundreds of MDR-TB diagnostic and treatment centers. The project has also engaged thousands of private doctors, trained thousands of healthcare providers, and cured thousands of patients through its comprehensive approach.

When the COVID-19 pandemic hit the Philippines, the National TB Control Program (NTP) had to act quickly to ensure that TB patients continued to access their lifesaving treatment. The ACCESS TB project, along with the NTP, WHO, USAID, and other partners, developed the National TB Adaptive Plan to maintain TB prevention, testing, and treatment even during the lockdowns.

One of the key innovations was the implementation of home-based treatment for drug-resistant TB (DR-TB) patients. Prior to COVID-19, these patients had to report to a facility every day to take their medications, leading to a high rate of loss to follow-up. With the adaptive plan, patients were allowed to take a month's worth of medications home, and healthcare workers conducted regular home visits to monitor their progress and collect sputum samples for laboratory follow-ups.

This shift to home-based treatment had a significant impact, reducing the loss to follow-up rate from 16% before COVID-19 to only 4% in 2020. The pandemic has accelerated the adoption of these patient-centric measures, which have proven to be effective in improving treatment adherence and outcomes.

The ACCESS TB project also expanded the role of its Specimen Transport Riders (STRiders) – motorcycle riders who not only transport sputum specimens to laboratories but also deliver medications from facilities to patients' homes. This integrated service has benefited both TB and HIV programs.

With the support of the Global Fund's COVID-19 Response Mechanism (C19RM) funding, the ACCESS TB project is now scaling up digital adherence tools, such as video observed therapy (VOT) and digital pill boxes, to further enhance patient support and monitoring. Additionally, the project is expanding the reach of mobile clinics that can perform on-site TB testing and screening, including at COVID-19 testing and vaccination sites, to ensure that no one is left behind in the fight against TB.

The Philippines' proactive response and the collaborative efforts of the NTP, PBSP, and their partners have demonstrated the resilience and adaptability of the country's TB control program in the face of the COVID-19 pandemic. By prioritizing patient-centered care and leveraging innovative technologies, the ACCESS TB project is making significant strides in improving TB outcomes and paving the way for a healthier future for the Filipino people.

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Tuberculosis Crisis in Philippines: The Mobile Radiology Answer

In Baran, Rajasthan, the fight against tuberculosis (TB) has seen notable advancements thanks to AI-driven solutions in medical diagnostics. Tuberculosis remains a widespread health challenge in India, particularly in rural areas where access to healthcare is limited. At Baran District Hospital, Qure.ai’s AI-powered chest X-ray tool, qXR, has played a transformative role since its deployment in 2018, enhancing TB detection through rapid and reliable image analysis. This technology supports the hospital’s overburdened healthcare staff, allowing them to triage patients more efficiently while addressing a large volume of cases.

For many patients traveling from remote villages, delayed or missed diagnoses pose a significant risk, often leading to untreated individuals unknowingly spreading TB within their communities. By integrating qXR into the hospital’s daily workflow, the AI system serves as a triage tool, identifying TB-suspected cases in minutes and promptly directing them for further testing. This reduces patient dropouts and speeds up the overall diagnostic process, providing a more seamless route from diagnosis to treatment.

The results at Baran District are impressive. TB notification rates rose from 67.8% to 90.14% within months of qXR’s introduction, a substantial increase attributed to the tool’s accuracy and speed in identifying cases, including asymptomatic ones that might otherwise be overlooked. Treatment enrollment time decreased by nearly three days, and the dropout rate for presumptive cases fell significantly. These improvements have empowered Baran District’s healthcare providers, enabling them to deliver timely care while reducing the risk of further TB transmission.

With AI support, Baran District Hospital has optimized its TB screening and treatment process, showcasing how innovative technology can amplify healthcare access and improve outcomes in resource-limited settings. The collaboration between Qure.ai and Baran's medical team highlights a scalable model for rural and under-resourced hospitals tackling TB, ultimately underscoring the potential for AI to impact global health challenges positively.

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Streamlining TB Diagnostics in Baran, Rajasthan (India)

Fujifilm and Qure.ai have partnered with Nigeria’s Institute of Human Virology (IHVN) to improve tuberculosis (TB) screening in rural communities through advanced technology. This initiative, supported by USAID, involves deploying Fujifilm’s portable, battery-powered Xair X-ray machines with Qure.ai’s AI-based imaging software to identify TB cases in hard-to-reach areas.

In Sub-Saharan Africa, including Nigeria, TB is a leading cause of death, often co-occurring with HIV. The Xair device and Qure.ai’s AI algorithms offer an efficient solution for TB testing in remote locations by providing portable, accurate, and rapid diagnostics. This allows healthcare teams to screen more individuals and detect TB earlier, even in places with limited electricity or infrastructure.

Dr. Chukwuma Anyaike from Nigeria’s Federal Ministry of Health lauded the success of this technology-driven approach, which has already proven effective in piloted areas. Dr. Aderonke Agbaje from IHVN highlighted that this partnership brings vital healthcare access to communities with challenging terrain, marking a significant advancement in their ongoing TB outreach.

Over the next five years, USAID and IHVN aim to scale up TB detection and treatment across Nigeria. This project not only improves patient access to care but also incorporates contact tracing for TB cases, helping reduce transmission and strengthen Nigeria’s national TB reporting.

Godspower Asika of Fujifilm emphasized Fujifilm’s commitment to making its technology accessible in Nigeria, with its Xair device enabling continuous screening without electricity. Qure.ai’s CEO Prashant Warier expressed enthusiasm for using AI to expand healthcare access, noting that Qure’s software can assess chest X-rays within a minute, identifying TB and other lung diseases accurately.

This partnership between IHVN, Fujifilm, and Qure.ai aims to enhance TB detection, treatment, and reporting in rural Nigeria, reducing transmission and supporting innovation in TB care. Together, these organizations are working to bring life-saving diagnostics and care to underserved communities, advancing universal healthcare access in Nigeria.

(<a href="https://www.youtube.com/watch?v=3KClgtX3vgY">VIDEO LINK</a>)&nbsp;

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On Ground with IHVN and Fujifilm in Nigeria

The COVID-19 pandemic has impacted everyone in some way but people with prior maladies or those who developed some amidst this pandemic have had to endure the most of it. A reduced focus on the incidence, prevalence, and spread of TB has drastically the screening of TB.

The TB prevalence survey conducted by the South African Medical Research Council, Human Sciences Research Council, and National Institute for Communicable Diseases on behalf of the Department of Health of South Africa has given a disturbing result that there are a higher number of people with TB in South Africa than previously estimated. More people need to be diagnosed, which can be done by testing more people who are at a higher risk of contracting TB. This is effective but expensive as well in the traditional manner. That is why the South African National Department of Health has joined hands with Qure.ai and&nbsp;<a href="https://youtu.be/6n76sNTOJWE">LTE Medical Solutions</a>&nbsp;to leverage innovative technology and screen TB in high-risk communities aiding in early diagnosis of the disease.

LTE Medical Solutions provided an integrated TB screening and diagnosis solution including mobile medical clinics, imaging equipment, Qure qXR AI and Healthcare Framework TB software. Qure's qXR AI software can detect signs of TB in less than 1 minute and patients with a high TB score can then be directed to undergo confirmatory tests.

Since the beginning of the COVID-19 induced lockdown in South Africa, testing rates for TB have dropped by up to 50% and technologies such as qXR CAD AI can significantly improve TB screening in community and primary healthcare settings which can aid in reducing the workload of the healthcare workforce amidst this pandemic.

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AI makes TB screening more accessible in South Africa

In an enlightening discussion, Kingshuk Misra, Public Health Business Development Lead at Qure.ai, and Matsie Lerefolo, Clinical Manager at LTE Medical Solutions, delve into the transformative impact of Qure.ai's solutions in driving Universal Lung Health. The conversation highlights the critical role of innovative technologies and strategic partnerships in tackling tuberculosis (TB) and other lung diseases.

Qure.ai's commitment to Universal Lung Health is exemplified through their integrated chest X-ray solution, qXR, which is specifically designed for tuberculosis detection. Misra and Lerefolo explore the features and advantages of qXR, emphasizing its potential to revolutionize TB diagnosis and management. By leveraging artificial intelligence (AI) algorithms trained on vast datasets of chest X-rays, qXR enables rapid and accurate identification of TB-related abnormalities, even in resource-limited settings.

One of the key advantages of qXR is its ability to streamline the diagnostic process, reducing the time from initial screening to definitive diagnosis. The AI-powered solution assists healthcare professionals in prioritizing cases that require immediate attention, ensuring timely intervention and treatment initiation. Moreover, qXR's intuitive interface and seamless integration into existing workflows make it user-friendly and accessible to healthcare providers at various levels of expertise.

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