image 30.svg

image 26.svg

livemint logo.svg

image 29.svg

image 28.svg

image 31.svg

image 27.svg

Featured in

In the heart of Maharashtra, India, a narrative of profound disparities unfolds. Mumbai, with its shimmering skyscrapers, stands as a testament to India's economic prowess, while a mere 390 kilometres away, Chinchpada's remote tribal expanse narrates a different story, marked by developmental challenges. Yet, in the shadow of their economic divide, both confront relentless health adversaries: the ubiquitous COVID-19 and the age-old threat of Tuberculosis (TB).&nbsp;

But a fresh chapter is being written in this story. And it is being driven by innovation and technology.&nbsp;&nbsp;

Leveraging the power of Artificial Intelligence (AI), a solution is at hand that transcends these disparities. Enter Qure.ai, with our innovative chest X-ray screening tool, qXR. Supported by the ambitious SAMRIDH Grant, an alliance between USAID and IPE Global, qXR promises to identify signs of TB within minutes. The solution’s efficacy shines equally in Mumbai's bustling clinics and Chinchpada's sparse healthcare facilities.&nbsp;

Clinicians on the ground, once burdened by an overwhelming patient load, are already testifying to its transformative potential. They are also more positive about being able to impact patient lives for the better. They affirm qXR's transformative prowess, highlighting its promise not just as a healthcare solution, but as a beacon of hope.&nbsp;

Mumbai and Chinchpada might be worlds apart, but Qure.ai's AI solution seamlessly integrates into their differing clinical settings, demonstrating the promise of technology as a great equalizer.&nbsp;

Witness a journey where health disparities are being challenged head-on, and the vision of achieving health equity through AI isn't just a dream—it's a rapidly emerging reality.&nbsp;&nbsp;

Want to dive deeper into this fascinating tale of technology combating healthcare inequities? Fill out the form &amp; download the full case study now!&nbsp;

large_Maharashtra case study coverpage thumbnail.webp

medium_Maharashtra case study coverpage thumbnail.webp

small_Maharashtra case study coverpage thumbnail.webp

thumbnail_Maharashtra case study coverpage thumbnail.webp

Maharashtra case study coverpage thumbnail.webp

A tale of two cities: AI for Health Equity

Tuberculosis rates have been high across Purnia, Bihar. Dr. Alexander Philip who has chosen to dedicate his medical skills to the district, needed as much support as possible to curb TB rates and treat patients effectively. Aided by the Samridh Grant,&nbsp;Qure.ai&nbsp;has deployed its AI solution at CMCH Purnia to help detect TB faster. Qure's qXR is helping address a skewed doctor-patient ratio and demonstrating that cutting-edge solutions can reform healthcare at the grassroots. Download the case study to know more:

In the heart of Eastern India, Bihar's Purnia District tells a story not of its landscapes but of human resilience against overwhelming healthcare adversities. With incomes hovering at a mere USD 5 per month, this region, emblematic of chronic impoverishment, has become the focus of nationwide change through the Aspirational Districts Programme (ADP). A grim reminder of healthcare's staggering disparities, Purnia's tale finds its light in the Christian Medical Centre and Hospital (CMCH), an oasis of hope in an otherwise parched land.&nbsp;

But as Tuberculosis (TB) and COVID-19 cast long shadows over this district, a new dawn emerges from an unexpected quarter—Artificial Intelligence.&nbsp;

In a groundbreaking collaboration, the SAMRIDH Grant aligns with Qure.ai, deploying qXR—an AI-powered chest X-ray screening tool—at CMCH. This potent alliance is more than just technology meets medicine; it's hope meeting reality. Within its early stages, over 2,500 X-rays were seamlessly processed, pinpointing 299 TB-presumptive patients—a feat of early detection that has tangible, life-saving ramifications.&nbsp;

Yet, the reach of this initiative goes beyond clinics and X-ray rooms. Deep into the heart of Purnia, in school compounds and community hubs, qXR is impacting lives, with events seeing children screened and communities educated about TB's insidious threat. With engaging skits and local dialect songs, the essence of medical innovation merges seamlessly with the tapestry of local culture, exemplifying the transformative power of community, technology, and collaboration.&nbsp;

Purnia's narrative, while specific in geography, reverberates with global significance. It's more than a testament to the marvels of AI in healthcare; it's a signal for what's possible even amidst the most daunting challenges.&nbsp;

Join us on a journey through Purnia's challenging terrains and witness how AI is not just transforming healthcare but rebuilding hope in the heartlands of Bihar. Dive into a story of innovation, resilience, and progress.&nbsp;

For a deeper exploration of this compelling narrative, fill out the form and download the full case study today.&nbsp;

large_PURNIA-CASE-STUDY-COVER-PAGE_THUMBNAIL_-01.webp

medium_PURNIA-CASE-STUDY-COVER-PAGE_THUMBNAIL_-01.webp

small_PURNIA-CASE-STUDY-COVER-PAGE_THUMBNAIL_-01.webp

thumbnail_PURNIA-CASE-STUDY-COVER-PAGE_THUMBNAIL_-01.webp

PURNIA-CASE-STUDY-COVER-PAGE_THUMBNAIL_-01.webp

AI helps overcome healthcare challenges in Bihar

AI toolkit to simplify the AI deployments for TB programs

Embracing the potential of AI can seem overwhelming at first, but with the right partner by your side, the journey becomes more manageable and enlightening. Introducing the<a href="https://qure.ai/">&nbsp;Qure.ai</a>&nbsp;AI Toolkit—a comprehensive solution designed to alleviate the challenges and demystify the process. Built upon industry-leading practices, our toolkit simplifies the intricate aspects of AI implementation, enabling you to unlock transformative insights for your program. Discover a world of possibilities with our AI Toolkit and embrace the power of artificial intelligence.

large_AI-toolkit-banner@2x.png

medium_AI-toolkit-banner@2x.png

small_AI-toolkit-banner@2x.png

thumbnail_AI-toolkit-banner@2x.png

AI-toolkit-banner@2x.png

Introducing AI Toolkit: Simplifying AI deployments for TB Programs

Presenting  The Global Fund  Application Support Package for AI-enabled CXR-based TB case finding. Created by Qure, this document highlights innovations in AI deployment models across different TB settings. Comprising our AI-powered integrated disease management workflow tool, we at Qure look forward to strengthening your TB elimination efforts and building Resilient and Sustainable Health Systems (RSSH). This comprehensive document will help overcome the digital divide gap to ensure equitable access to quality healthcare, especially in a low-resource setting.

large_impact 2.webp

medium_impact 2.webp

small_impact 2.webp

thumbnail_impact 2.webp

impact 2.webp

The Global Fund  Application Support Package for AI-enabled CXR-based TB case finding

vRad&nbsp;is a leading US teleradiology provider on a mission to bring exceptional care to all patients anytime and anywhere.&nbsp;Learn more about how this collaboration has given radiologists in 2100+ hospitals,&nbsp; the tools they need to conduct better analyses and report with greater confidence.

large_impact 3.webp

medium_impact 3.webp

small_impact 3.webp

thumbnail_impact 3.webp

impact 3.webp

Elevating Radiology Care with Qure.ai & vRAD

AI toolkit to simplify the AI deployments for TB programs

Embracing the potential of AI can seem overwhelming at first, but with the right partner by your side, the journey becomes more manageable and enlightening. Introducing the&nbsp;<a href="https://qure.ai/">Qure.ai</a>&nbsp;AI Toolkit—a comprehensive solution designed to alleviate the challenges and demystify the process. Built upon industry-leading practices, our toolkit simplifies the intricate aspects of AI implementation, enabling you to unlock transformative insights for your program. Discover a world of possibilities with our AI Toolkit and embrace the power of artificial intelligence.

small_impact 4.webp

thumbnail_impact 4.webp

impact 4.webp

Seeing a need for improvements in urgent stroke diagnosis, to support radiology & emergency care?

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;

large_impact 5.webp

medium_impact 5.webp

small_impact 5.webp

thumbnail_impact 5.webp

impact 5.webp

Accelerating TB screening in rural communities using AI-powered technology

When it comes to stroke and traumatic brain injuries (TBI), experts say “time is brain" because avoiding treatment delays can mean the difference between life &amp; death or permanent paralysis for patients. This urgency increases the burden on radiologists.

However, powerful AI solutions like Qure's&nbsp;<a href="https://www.qure.ai/product/qer/" target="_blank">qER</a>&nbsp;assist in faster detection, risk reduction, and subsequent improvement in the quality of life.

<a href="https://aarthiscan.com/" target="_blank">Aarthi Scans and Labs</a>&nbsp;is one of India largest integrated diagnostic chains with imaging centers across India including in Tier 3 and Tier 2 cities. The organization has adopted Artificial Intelligence (AI) in their Tele-radiology reporting. Tier 3 cities usually lack neurologists in hospitals and any trauma cases need to travel for a couple of hours even to reach a tertiary hospital, which is difficult at night. The main aim of Aarthi Scans is to implement AI in their service for the night reads of Non-Contrast Head CTs (NCCT), in absence of a Neurologist or a Radiologist to aid the treatment faster for time sensitive and emergency trauma cases.

large_impact 6.webp

medium_impact 6.webp

small_impact 6.webp

thumbnail_impact 6.webp

impact 6.webp

Impact of AI in treating trauma and stroke patients

The ACCESS TB program involved mobile vans equipped with X-rays machines connected to AI-enabled software interpretation of chest radiographs for TB detection using qXR, along with trained radiographers and health workers. This program was intended to screen presumptive cases and individuals with a high-risk factor of TB, by running the vans across different cities in the Philippines.

thumbnail_impact 7.webp

impact 7.webp

Tuberculosis Crisis in Philippines: The Mobile Radiology Answer

Determining the role of artificial intelligence in lung cancer pathways is a talk by Dr Indrajeet Das on the various aspects of integrating an AI enabled care pathway to better and faster diagnose world's leading cause of cancer death: Lung Cancer. Lung cancer has a poor outcome primarily due to its late diagnosis compared to other cancers.&nbsp;Coupled with the shortage of radiographers, this could be fatal to many undiagnosed early age patients out there.

Qure.ai has partnered with Leicester trust hospital as part of the SBRI Grant to optimally use AI in identifying and triaging normal v abnormal chest X-rays – indicative of lung cancer nodule. This trial primarily looks at bringing down time to diagnosis and thereby improving patient outcome.

large_impact 8.webp

medium_impact 8.webp

small_impact 8.webp

thumbnail_impact 8.webp

impact 8.webp

Determining the Value of AI in Lung Cancer Pathways | Dr Indrajeet Das, Leicester NHS Trust

Baran District, yielded valuable results around the potential for AI-enabled software interpretation of chest radiographs for TB detection using qXR.

small_impact 9.webp

thumbnail_impact 9.webp

impact 9.webp

Streamlining TB Diagnostics in Baran, Rajasthan (India)

TB is the leading cause of death in Sub-Saharan Africa (Nigeria inclusive) and the most common opportunistic co-infection alongside HIV. Fujifilm’s Xair portable Xray device powered by the Qure.ai's artificial intelligence algorithm provides the Institute of Human Virology Nigeria (IHVN) with an ideal solution for rural mass testing programs, offering ultra-portability, high accuracy and efficiency point-of-care diagnostic solutions. See the impact of the work being done in 4 rural Nigerian communities.

<a href="https://qure.ai/#facebook" target="_blank">Facebook</a><a href="https://qure.ai/#twitter" target="_blank">Twitter</a><a href="https://qure.ai/#linkedin" target="_blank">LinkedIn</a><a href="https://qure.ai/#copy_link" target="_blank">Copy Link</a>

large_impact 10.webp

medium_impact 10.webp

small_impact 10.webp

thumbnail_impact 10.webp

impact 10.webp

On Ground with IHVN and Fujifilm in Nigeria

The Royal Bolton Hospital was the first NHS trust to adopt AI aided technology in radiology with the adoption of&nbsp;qXR&nbsp;in April 2020. As the COVID-19 pandemic evolved through the UK, they experienced a heavy footfall of individuals symptomatic for COVID-19 walking into the facility for care.&nbsp;qXR&nbsp;was used by both clinicians and radiologists for the reporting of chest X-rays as a second read to ensure no potential cases were missed and to support clinical decision-making for better patient outcomes.

large_impact 11.webp

medium_impact 11.webp

small_impact 11.webp

thumbnail_impact 11.webp

impact 11.webp

The impact of AI at The Royal Bolton NHS Hospital, UK

Haris Shuaib, Head of Clinical Scientific Computing at Guy’s and St Thomas’ NHS Foundation Trust hopes so. In a freewheeling conversation with Reena Rajan, Head of Marketing at Qure.ai, they touch upon facilitating technology into the healthcare workflow and how a boring walk triggered the London Medical Imaging &amp; Artificial Intelligence Centre for Value Based Healthcare’s AIDE initiative that’s currently being used for Stroke care and Neonatal care. Haris also discusses how the partnership with Qure.ai is a way to demonstrate how AI solutions can have meaningful impact in hospital ops and patient outcomes and the endless potential applications of AI in healthcare. All this and more in an enthralling conversation that you can watch here.

small_impact 14.webp

thumbnail_impact 14.webp

impact 14.webp

Can the use of AI become as conventional as that of MRI machines?

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.

large_impact 13.webp

medium_impact 13.webp

small_impact 13.webp

thumbnail_impact 13.webp

impact 13.webp

AI makes TB screening more accessible in South Africa

Samantha Davey, Head of Programme Delivery and David Evans, Functional Architect of Medica Group Plc spoke on adopting Qure.ai’s technology to support clinical professionals to ensure the best possible patient care.

Over the last 16 years, Medica has evolved to become an innovative, dynamic and progressive company supporting over 100+ NHS hospitals through teleradiology. Medica has been leading the way in connecting and supporting clinical professionals to ensure the best possible patient outcomes.

In this interview, Samantha and David explain about their thought process in bringing Artificial Intelligence into their workflows, pointers to help choose the right teleradiology provider for your NHS hospital, and how using Qure.ai’s solution along with ‘NightHawk’ – Medica’s emergency reporting diagnostic tool helped support the acute care environment.

small_impact 12.webp

thumbnail_impact 12.webp

impact 12.webp

How qER helps UK’s largest Telerad firm Medica Group Plc

Artificial Intelligence’s potential role in patient care is just one the insights shared by Dr. Indrajeet Das, Consultant Radiologist at the University Hospitals of Leicester NHS Trust. He is in conversation with Reena Rajan, Head of Marketing at Qure.ai. They discuss the exciting revolution in AI currently taking place and the need for real world evidence-based research trials. They also speak about how chest X-rays play a critical role in the National Lung Cancer Optimal Pathway and the radiology paradigm shift that AI is helping to drive. Watch their conversation now:

small_impact 16.webp

thumbnail_impact 16.webp

impact 16.webp

AI could become the new standard of care for patients.

Kingshuk Misra, our Public Health Business Development Lead and Matsie Lerefolo Clinical Manager at LTE Medical Solutions discuss:

small_impac 16.webp

thumbnail_impac 16.webp

impac 16.webp

From TB to Universal Lung Health – AI & the power of collaboration

Artificial Intelligence (AI) is redefining precision diagnostics and early detection of multiple diseases, including cancer, neuro-critical conditions, cardiovascular myopathy, and many more. In radiology, AI is used varyingly – its application is being experimented with across the healthcare dissemination pathway to identify the optimal implementation and deployment methodology.&nbsp;&nbsp;

AI solutions, while being highly agile in screening and detection of abnormalities, can also be successfully deployed to optimize radiologists' workflows, facilitate quantitative radiology, and assist in the triage of critical cases. Finally, with the pandemic also weighing in on the current healthcare infrastructure, we can conclude that AI-enabled healthcare will eventually replace legacy infrastructure. &nbsp;&nbsp;

The&nbsp;<a href="https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30160-6/fulltext">Lancet reports</a>&nbsp;that medical investigations leveraging computer-aided diagnostics (CAD) have shown excellent accuracy, sensitivity, and specificity for detecting minor radiographic abnormalities, potentially improving public health. It further states that AI could identify imaging pattern changes that are not readily amenable to human identification.&nbsp;&nbsp;

Earlier this year, the United Kingdom declared its goal of harnessing digital expertise and Artificial Intelligence (AI) to drive transformation within the NHS and social care. Similar adoption models are being discussed in hospitals and healthcare networks across the globe. At present, the workload on the radiology workforce is staggering, with a radiologist required to read a scan every 3-4 seconds. An AI-enabled workflow can alleviate this issue. Moreover, it can help bring down the intra and inter-reader variations. AI solutions can also help use radiology to detect numerous abnormalities early that can directly impact patient prognosis. &nbsp;&nbsp;

While the need for intelligent technology has been established, questions on how, what, and where, remain an open-ended discourse across the medical fraternity. As a result, not much historical data will come into play when an organization decides to implement AI within the system, which is where the collective knowledge of clinicians, radiologists, technologists, and AI solution providers come together. It is the premise of Qure.ai's eminent&nbsp;<a href="https://youtu.be/l8zRXDlhJ2w">panel of experts</a>&nbsp;on AI implementation including:&nbsp;&nbsp;

Step # 1: Identify and isolating the current bottlenecks

It can vary across the set-up of your organization, access to domain experts, and the use case you have identified. For example, at a teaching hospital, AI-enabled data mining may not be a priority as much as resolving the resource crunch and workforce planning. Whereas if you belong to academia, then this becomes your priority. A significant step in seamless implementation is to assemble the right team to implement the project and see to it – end to end. Deploying AI is not a pet project but a large-scale deployment that should integrate with your long-term goal. Getting all the stakeholders, including data governance, IT services, and the chief executive members, on the same page will help in the long run. &nbsp;&nbsp;

Step #2: Identify the right AI vendor for you&nbsp;&nbsp;

With multiple vendors available for similar solutions, industry-approved, clinically validated products should be your go-to option. Though AI is now being sold as a pattern recognition solution, building trust for the technology within the workforce should be your priority to enable them to rely on it as needed. Deploying AI for triage and acting as quality assurance is an excellent place to start. Check their peer-reviewed data and the status of their CE/FDA clearance. Lastly, run a pilot and get your success metrics clearly defined before any deployment. Any implementation is gauged as a success when well-defined success criteria are in place. Having a clear end goal – lives saved, time saved and/or money saved, needs to be obvious to understand the ROI of the solution.&nbsp;&nbsp;

Step #3: Evaluate if the solution solves for your business use case&nbsp;

If you are a teleradiology company looking for AI solutions, a whole new set of questions arises. While most points discussed above, hold true for a teleradiology context as well, like data privacy and FDA/CE clearance, and the host of peer-reviewed data to back an AI solution's precision and read accuracy, a teleradiology company will face more challenges when it comes to integrating the solution across their deployed sites. Unlike a hospital, where the deployment is singular, a teleradiology company will require a customized integration plan for every client site. The challenge heightens if they have multiple PACS vendors in place. When choosing a vendor, they will depend on the vendor's training data's transparency, integration agility, and customizable solutions and markers. 

Step #4: Check for Regulatory Compliance&nbsp;&nbsp;

Experts have weighed in on the need for a single AI database. While the European market is getting ready to publish EUDAMED, the already available ECLAIR guidelines for choosing your AI partner will be the right place to start if you identify and deploy an AI solution in the EU region. While CE/FDA clearances are non-negotiable, it is equally vital that you understand the premise of these certifications.&nbsp;&nbsp;

Every AI solution that is CE/FDA cleared has an intended use statement and instructions to use a manual that is regulatory approved. While the vendor may have more to claim than what is present in these documents, you must do the due diligence to see if your problem statement matches your chosen partner's CE/FDA-marked intended use. Similarly, it is essential to see how compatible the chosen AI solution is with your data. Identifying the pre-determined biases and margins of error of a particular solution concerning your clinical data before deployment will help bring down false-positive rates and AI biases. Most vendors have ample documentation citing the same. Looking through their categorization of the solution's training database will also give you a clearer picture of what to modify when it comes to deployment.&nbsp;

small_impact 17.webp

thumbnail_impact 17.webp

impact 17.webp

Qure for Sure: The definitive guide to implementing AI in your NHS Trust

At&nbsp;<a href="https://london.intelligenthealth.ai/">Intelligent Health UK 2022</a>, some of Qure.ai's notable partners and clients shared their expertise &amp; insights on evaluating &amp; implementing Artificial Intelligence solutions in&nbsp;<a href="https://www.nhs.uk/">NHS Trust healthcare institutions</a>. The eminent panellists included Dr.&nbsp;<a href="https://www.linkedin.com/in/dr-hugh-harvey-58a470112/?original_referer=https%3A%2F%2Fwww%2Egoogle%2Ecom%2F&amp;originalSubdomain=uk">Hugh Harvey</a>, Dr.&nbsp;<a href="https://www.linkedin.com/in/amrkum/">Amrita Kumar</a>,&nbsp;<a href="https://www.linkedin.com/in/emma-hughes-733b9a54/">Emma Hughes</a>, Dr.&nbsp;<a href="https://garrypettet.com/">Garry Pettet</a>&nbsp;and Matthew Watt. Some of the key topics covered:

small_impact 18.webp

thumbnail_impact 18.webp

impact 18.webp

AI – Does your Trust need it? Here’s how to get it right the first time IHUK22

Dr Hugh Harvey speaks about How AI will fundamentally change the Health Care Delivery in the NHS Trust Hospitals.

Dr. Hugh Harvey, Managing Director, Hardian Health has been on a fascinating journey – starting out as a radiologist, stepping into academia and now, advising startups on strategizing their entry into the market. His conversation with Reena Rajan, Head of Marketing at Qure.ai, spans a number of topics. From the ECLAIR guidelines to how hospitals can better evaluate commercial AI solutions in radiology; the benefits &amp; risks to the health economics of purchasing an AI system. Dr. Harvey also elaborates on his work with Qure.ai and how the collaboration is helping enhance Qure’s solutions to improve quality of life and financial impacts on NHS Trust hospitals using these solutions.&nbsp;&nbsp;

All this and more in a fascinating discussion

small_impact 20.webp

thumbnail_impact 20.webp

impact 20.webp

How AI will fundamentally change healthcare delivery

Dr.&nbsp;Garry Pettet&nbsp;is a Consultant Radiologist at&nbsp;Medica, one of the UK’s largest&nbsp;teleradiology&nbsp;firms. He speaks with Reena Rajan, Head of Marketing at Qure.ai, about the experience of bringing AI into the workflow and the resultant benefits – increasing safety, reducing turnaround times, etc. He talks about Medica’s collaboration with Qure.ai and using the&nbsp;qER&nbsp;algorithm to triage brain&nbsp;CT scans&nbsp;and rapidly identify abnormal ones for follow-ups, which can have a significant impact in Stroke treatment. They also discuss the&nbsp;NHS, how AI can help reduce costs for healthcare systems and the future of digital technologies in healthcare.

small_impact 19.webp

thumbnail_impact 19.webp

impact 19.webp

How can Artificial Intelligence help make medical imaging safer, better and faster?

The Ministry of Health, Oman’s Covid-19 monitoring platform, known as ‘Tarassud Plus’, is used as monitoring system for diagnosing, following up, and tracking the medical condition of individuals infected with COVID-19 under quarantine, by using artificial intelligence and advanced tracking technologies.

The world has been battling with COVID-19 since the past two years. Both public and private health systems across the world are adopting different strategies to put an end to the spread of the pandemic and save the lives of people. Despite several novel strategies and solutions; isolating and contact tracing individuals continues to remain a challenging task.

During the first wave of the pandemic, shortage of medical resources was a universal challenge due to exponential increase of infected people in a short time. Remote patient management became the need of the hour, but the shortage of medical staff for timely monitoring of quarantined individuals remained a challenge. The qScout platform developed by Qure.ai was adopted by the Ministry of Health Oman, for contact monitoring and remote patient management at a national scale. It was also integrated withthe government health surveillance platform Tarassud to give population level alerts to authorities.

qScout used AI chatbot customised to the local languages and engaged with confirmed cases capturing their primary and secondary symptoms. The AI engine analysed the information and provided insights enabling virtual triaging and timely escalation for medical requirements, thereby minimizing and scheduling visits to medical institutions, and focusing only on cases that need a medical examination. The phone based chatbot, deployed within the Tarssud Plus app, communicated through regular interval questions which the individuals could respond with clickable options for ease of use. The chatbot is interactive and its questions are designed to keep it user friendly.

qScout developed by “Qure.ai” in partnership with Al Burkan Company was used to remotely monitor individuals to check for worsening of their medical condition on a daily basis. This platform helped alleviate the burden of health workers and control the spread of the pandemic.

The information gathered was processed using algorithms in the backend to assess the risk factors. This information was then relayed back to the Tarassud Plus platform to indicate risk categories.

Over a span of 8 months, approximately 400,000 Covid-19 patients under quarantine in Oman regularly interacted with a software for over thousands of sessions taking off a significant proportion of healthcare workers’ burden.

Using data mining, the system could also estimate the potential surge in cases across regions of the country, helping health workers and government monitor hotspot regions and prepare for receiving cases.

The MOH also provided a wearable gadget that sent real-time information to the competent authorities about the movements and locations of a quarantined or infected person. It could also send alerts if this person left their location or tried to remove the gadget.

Through managing symptoms and triaging peopleremotely using the AI-powered tool, Qure.ai was able to help the Ministry of Health Oman ensure that individuals are only brought to the hospital at the right time, minimizing panic and optimizing utilisation of resources.