“Worldwide healthcare systems have a significant challenge in the detection of lung cancer. At present, nearly 50% of patients present with advanced or stage 4 cancer, leading to poorer outcomes. If we can spot cancer earlier, by speeding up the time and accuracy of the 100,000 chest X-rays performed each year at NHSGGC, we can improve time to further imaging, and subsequent treatment. Qure’s chest X-ray AI will help orchestrate benefits for the whole patient care pathway.”
Prof. David Lowe
Professor of Health Innovation
“AI solutions such as qXR should improve the pathway logistics by flagging abnormalities on chest X-rays as soon as they are undertaken, helping patients progress rapidly to CT scanning.”
Prof. David Baldwin
Honorary Professor of Medicine and Consultant Physician
“Incorporating AI algorithms into diagnostic pathways has showcased their transformative impact on the field of medicine. Solutions like Qure.ai's qXR-LN are a significant step towards establishing new possibilities in pulmonary imaging, particularly within oncology. The need for early-stage lung cancer detection is crucial, and tools like qXR-LN can play a significant role in the early detection of incidental nodules"
Dr. Vishisht Mehta
MBBS, FCCP, Director of Interventional Pulmonology
"Our partnership with Qure.ai represents a critical step in our commitment to the EDISON Alliance's 1 Billion Lives Challenge. Lung cancer remains a major global health concern, and through applying AI to screen for lung cancer risk in millions of routine X-rays, it will provide a low-cost, high-impact way of ensuring at-risk patients enter the right diagnostic and care pathway. This milestone exemplifies our A.Catalyst Network approach to expanding access to digital healthcare and making change in the communities we serve."
Nipun Jain
Head of International A.Catalyst Network
“In our quest to drive data-driven innovations in clinical oncology, the advancements made by Qure.ai stand out. Their AI tools, particularly in radiology, align perfectly with our mission at Project Data Sphere. By collaborating with partners like Qure.ai, we can catalyze innovative ideas and transform the landscape of oncology clinical trials.
Qure.ai's commitment to enhancing image analysis and assisting radiologists through AI is commendable and pivotal in accelerating clinical research and improving patient outcomes. Their work is a testament to the incredible potential of AI in revolutionizing healthcare.”
Asba Tasneem
Executive Director
“Worldwide healthcare systems have a significant challenge in the detection of lung cancer. At present, nearly 50% of patients present with advanced or stage 4 cancer, leading to poorer outcomes. If we can spot cancer earlier, by speeding up the time and accuracy of the 100,000 chest X-rays performed each year at NHSGGC, we can improve time to further imaging, and subsequent treatment. Qure’s chest X-ray AI will help orchestrate benefits for the whole patient care pathway.”
Prof. David Lowe
Professor of Health Innovation
“AI solutions such as qXR should improve the pathway logistics by flagging abnormalities on chest X-rays as soon as they are undertaken, helping patients progress rapidly to CT scanning.”
Prof. David Baldwin
Honorary Professor of Medicine and Consultant Physician
“Incorporating AI algorithms into diagnostic pathways has showcased their transformative impact on the field of medicine. Solutions like Qure.ai's qXR-LN are a significant step towards establishing new possibilities in pulmonary imaging, particularly within oncology. The need for early-stage lung cancer detection is crucial, and tools like qXR-LN can play a significant role in the early detection of incidental nodules"
Dr. Vishisht Mehta
MBBS, FCCP, Director of Interventional Pulmonology
"Our partnership with Qure.ai represents a critical step in our commitment to the EDISON Alliance's 1 Billion Lives Challenge. Lung cancer remains a major global health concern, and through applying AI to screen for lung cancer risk in millions of routine X-rays, it will provide a low-cost, high-impact way of ensuring at-risk patients enter the right diagnostic and care pathway. This milestone exemplifies our A.Catalyst Network approach to expanding access to digital healthcare and making change in the communities we serve."
Nipun Jain
Head of International A.Catalyst Network
“In our quest to drive data-driven innovations in clinical oncology, the advancements made by Qure.ai stand out. Their AI tools, particularly in radiology, align perfectly with our mission at Project Data Sphere. By collaborating with partners like Qure.ai, we can catalyze innovative ideas and transform the landscape of oncology clinical trials.
Qure.ai's commitment to enhancing image analysis and assisting radiologists through AI is commendable and pivotal in accelerating clinical research and improving patient outcomes. Their work is a testament to the incredible potential of AI in revolutionizing healthcare.”
Asba Tasneem
Executive Director
“Worldwide healthcare systems have a significant challenge in the detection of lung cancer. At present, nearly 50% of patients present with advanced or stage 4 cancer, leading to poorer outcomes. If we can spot cancer earlier, by speeding up the time and accuracy of the 100,000 chest X-rays performed each year at NHSGGC, we can improve time to further imaging, and subsequent treatment. Qure’s chest X-ray AI will help orchestrate benefits for the whole patient care pathway.”
Prof. David Lowe
Professor of Health Innovation
“AI solutions such as qXR should improve the pathway logistics by flagging abnormalities on chest X-rays as soon as they are undertaken, helping patients progress rapidly to CT scanning.”
Prof. David Baldwin
Honorary Professor of Medicine and Consultant Physician
“Incorporating AI algorithms into diagnostic pathways has showcased their transformative impact on the field of medicine. Solutions like Qure.ai's qXR-LN are a significant step towards establishing new possibilities in pulmonary imaging, particularly within oncology. The need for early-stage lung cancer detection is crucial, and tools like qXR-LN can play a significant role in the early detection of incidental nodules"
Dr. Vishisht Mehta
MBBS, FCCP, Director of Interventional Pulmonology
"Our partnership with Qure.ai represents a critical step in our commitment to the EDISON Alliance's 1 Billion Lives Challenge. Lung cancer remains a major global health concern, and through applying AI to screen for lung cancer risk in millions of routine X-rays, it will provide a low-cost, high-impact way of ensuring at-risk patients enter the right diagnostic and care pathway. This milestone exemplifies our A.Catalyst Network approach to expanding access to digital healthcare and making change in the communities we serve."
Nipun Jain
Head of International A.Catalyst Network
“In our quest to drive data-driven innovations in clinical oncology, the advancements made by Qure.ai stand out. Their AI tools, particularly in radiology, align perfectly with our mission at Project Data Sphere. By collaborating with partners like Qure.ai, we can catalyze innovative ideas and transform the landscape of oncology clinical trials.
Qure.ai's commitment to enhancing image analysis and assisting radiologists through AI is commendable and pivotal in accelerating clinical research and improving patient outcomes. Their work is a testament to the incredible potential of AI in revolutionizing healthcare.”
Asba Tasneem
Executive Director
“Worldwide healthcare systems have a significant challenge in the detection of lung cancer. At present, nearly 50% of patients present with advanced or stage 4 cancer, leading to poorer outcomes. If we can spot cancer earlier, by speeding up the time and accuracy of the 100,000 chest X-rays performed each year at NHSGGC, we can improve time to further imaging, and subsequent treatment. Qure’s chest X-ray AI will help orchestrate benefits for the whole patient care pathway.”
Prof. David Lowe
Professor of Health Innovation
“AI solutions such as qXR should improve the pathway logistics by flagging abnormalities on chest X-rays as soon as they are undertaken, helping patients progress rapidly to CT scanning.”
Prof. David Baldwin
Honorary Professor of Medicine and Consultant Physician
“Incorporating AI algorithms into diagnostic pathways has showcased their transformative impact on the field of medicine. Solutions like Qure.ai's qXR-LN are a significant step towards establishing new possibilities in pulmonary imaging, particularly within oncology. The need for early-stage lung cancer detection is crucial, and tools like qXR-LN can play a significant role in the early detection of incidental nodules"
Dr. Vishisht Mehta
MBBS, FCCP, Director of Interventional Pulmonology
"Our partnership with Qure.ai represents a critical step in our commitment to the EDISON Alliance's 1 Billion Lives Challenge. Lung cancer remains a major global health concern, and through applying AI to screen for lung cancer risk in millions of routine X-rays, it will provide a low-cost, high-impact way of ensuring at-risk patients enter the right diagnostic and care pathway. This milestone exemplifies our A.Catalyst Network approach to expanding access to digital healthcare and making change in the communities we serve."
Nipun Jain
Head of International A.Catalyst Network
“In our quest to drive data-driven innovations in clinical oncology, the advancements made by Qure.ai stand out. Their AI tools, particularly in radiology, align perfectly with our mission at Project Data Sphere. By collaborating with partners like Qure.ai, we can catalyze innovative ideas and transform the landscape of oncology clinical trials.
Qure.ai's commitment to enhancing image analysis and assisting radiologists through AI is commendable and pivotal in accelerating clinical research and improving patient outcomes. Their work is a testament to the incredible potential of AI in revolutionizing healthcare.”
Asba Tasneem
Executive Director
“Worldwide healthcare systems have a significant challenge in the detection of lung cancer. At present, nearly 50% of patients present with advanced or stage 4 cancer, leading to poorer outcomes. If we can spot cancer earlier, by speeding up the time and accuracy of the 100,000 chest X-rays performed each year at NHSGGC, we can improve time to further imaging, and subsequent treatment. Qure’s chest X-ray AI will help orchestrate benefits for the whole patient care pathway.”
Prof. David Lowe
Professor of Health Innovation
“AI solutions such as qXR should improve the pathway logistics by flagging abnormalities on chest X-rays as soon as they are undertaken, helping patients progress rapidly to CT scanning.”
Prof. David Baldwin
Honorary Professor of Medicine and Consultant Physician
“Incorporating AI algorithms into diagnostic pathways has showcased their transformative impact on the field of medicine. Solutions like Qure.ai's qXR-LN are a significant step towards establishing new possibilities in pulmonary imaging, particularly within oncology. The need for early-stage lung cancer detection is crucial, and tools like qXR-LN can play a significant role in the early detection of incidental nodules"
Dr. Vishisht Mehta
MBBS, FCCP, Director of Interventional Pulmonology
"Our partnership with Qure.ai represents a critical step in our commitment to the EDISON Alliance's 1 Billion Lives Challenge. Lung cancer remains a major global health concern, and through applying AI to screen for lung cancer risk in millions of routine X-rays, it will provide a low-cost, high-impact way of ensuring at-risk patients enter the right diagnostic and care pathway. This milestone exemplifies our A.Catalyst Network approach to expanding access to digital healthcare and making change in the communities we serve."
Nipun Jain
Head of International A.Catalyst Network
“In our quest to drive data-driven innovations in clinical oncology, the advancements made by Qure.ai stand out. Their AI tools, particularly in radiology, align perfectly with our mission at Project Data Sphere. By collaborating with partners like Qure.ai, we can catalyze innovative ideas and transform the landscape of oncology clinical trials.
Qure.ai's commitment to enhancing image analysis and assisting radiologists through AI is commendable and pivotal in accelerating clinical research and improving patient outcomes. Their work is a testament to the incredible potential of AI in revolutionizing healthcare.”
Asba Tasneem
Executive Director
“Worldwide healthcare systems have a significant challenge in the detection of lung cancer. At present, nearly 50% of patients present with advanced or stage 4 cancer, leading to poorer outcomes. If we can spot cancer earlier, by speeding up the time and accuracy of the 100,000 chest X-rays performed each year at NHSGGC, we can improve time to further imaging, and subsequent treatment. Qure’s chest X-ray AI will help orchestrate benefits for the whole patient care pathway.”
Prof. David Lowe
Professor of Health Innovation
“AI solutions such as qXR should improve the pathway logistics by flagging abnormalities on chest X-rays as soon as they are undertaken, helping patients progress rapidly to CT scanning.”
Prof. David Baldwin
Honorary Professor of Medicine and Consultant Physician
“Incorporating AI algorithms into diagnostic pathways has showcased their transformative impact on the field of medicine. Solutions like Qure.ai's qXR-LN are a significant step towards establishing new possibilities in pulmonary imaging, particularly within oncology. The need for early-stage lung cancer detection is crucial, and tools like qXR-LN can play a significant role in the early detection of incidental nodules"
Dr. Vishisht Mehta
MBBS, FCCP, Director of Interventional Pulmonology
"Our partnership with Qure.ai represents a critical step in our commitment to the EDISON Alliance's 1 Billion Lives Challenge. Lung cancer remains a major global health concern, and through applying AI to screen for lung cancer risk in millions of routine X-rays, it will provide a low-cost, high-impact way of ensuring at-risk patients enter the right diagnostic and care pathway. This milestone exemplifies our A.Catalyst Network approach to expanding access to digital healthcare and making change in the communities we serve."
Nipun Jain
Head of International A.Catalyst Network
“In our quest to drive data-driven innovations in clinical oncology, the advancements made by Qure.ai stand out. Their AI tools, particularly in radiology, align perfectly with our mission at Project Data Sphere. By collaborating with partners like Qure.ai, we can catalyze innovative ideas and transform the landscape of oncology clinical trials.
Qure.ai's commitment to enhancing image analysis and assisting radiologists through AI is commendable and pivotal in accelerating clinical research and improving patient outcomes. Their work is a testament to the incredible potential of AI in revolutionizing healthcare.”
Asba Tasneem
Executive Director