Globally

Trusted AI for

Lung Cancer

For conditions such as intracranial hemorrhage, time is of the essence and those precious minutes can be life-changing for our patients. We have done extensive validation of the Qure.ai qER solution and are excited to continue to partner with Qure.ai and improve care for our patients.

Benjamin W. Strong

MD and Chief Medical Officer

vRad

A multicenter publication on missed and mislabeled chest radiography findings including pneumothoraces and pleural effusions reported up to 96% sensitivity and 100% specificity for the qXR algorithm.

Dr Subba Digumarthy, MD

Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital

Associate Professor, Harvard Medical School

The collaboration between Qure.ai and Nuance helps make cutting-edge imaging AI easily integrated and accessible to different stakeholders in the US healthcare system. We’re excited to work together to bring scalable diagnostics solutions for providers and patients across the country.

Roland Dias

Vice President and General Manager

Nuance Precision Imaging Network

Medical imaging AI holds immense potential in the battle against lung cancer in the United States. It is great to see the breadth of FDA clearances rolling in to enable the exploration and activation of algorithms that can support radiologists and pulmonologists. This will help to detect lung nodules earlier using chest X-ray, and also analyze them in detail on chest CT.

Dr. Javier Zulueta

MD, Chief, Division of Pulmonary, Critical Care and Sleep Medicine at Mount Sinai Morningside, New York

AI serves as an additional set of eyes for radiologists, enhancing detection by flagging lung nodules that may require further evaluation. This AI-driven approach may aid in identifying more nodules which we hope supports patient care and enables us to evaluate the broader impact of medical imaging AI. The clinical trial will evaluate how many patients require follow-up CT scans, biopsies, and how many more lung cancer cases are diagnosed earlier using AI. The hope is that this clinical trial will not only advance early detection but also drive meaningful transformation in lung cancer surveillance

Amit Gupta

cardiothoracic radiologist and Modality Director of Diagnostic Radiography at University Hospitals Cleveland Medical Center

For conditions such as intracranial hemorrhage, time is of the essence and those precious minutes can be life-changing for our patients. We have done extensive validation of the Qure.ai qER solution and are excited to continue to partner with Qure.ai and improve care for our patients.

Benjamin W. Strong

MD and Chief Medical Officer

vRad

A multicenter publication on missed and mislabeled chest radiography findings including pneumothoraces and pleural effusions reported up to 96% sensitivity and 100% specificity for the qXR algorithm.

Dr Subba Digumarthy, MD

Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital

Associate Professor, Harvard Medical School

As an Emergency Medicine Physician, I have 4 to 5 patients undergoing various imaging studies at any time. The AI's ability to rapidly triage pneumothorax dramatically improves my speed and efficiency by alerting me to critical pathology far before a radiologist, or I personally have time to review the film.

Neil Roy

MD, MBA, FACEP, CPE; Chief Medical Officer

Shady Grove Medical Center

The collaboration between Qure.ai and Nuance helps make cutting-edge imaging AI easily integrated and accessible to different stakeholders in the US healthcare system. We’re excited to work together to bring scalable diagnostics solutions for providers and patients across the country.

Roland Dias

Vice President and General Manager

Nuance Precision Imaging Network

Medical imaging AI holds immense potential in the battle against lung cancer in the United States. It is great to see the breadth of FDA clearances rolling in to enable the exploration and activation of algorithms that can support radiologists and pulmonologists. This will help to detect lung nodules earlier using chest X-ray, and also analyze them in detail on chest CT.

Dr. Javier Zulueta

MD, Chief, Division of Pulmonary, Critical Care and Sleep Medicine at Mount Sinai Morningside, New York

AI serves as an additional set of eyes for radiologists, enhancing detection by flagging lung nodules that may require further evaluation. This AI-driven approach may aid in identifying more nodules which we hope supports patient care and enables us to evaluate the broader impact of medical imaging AI. The clinical trial will evaluate how many patients require follow-up CT scans, biopsies, and how many more lung cancer cases are diagnosed earlier using AI. The hope is that this clinical trial will not only advance early detection but also drive meaningful transformation in lung cancer surveillance

Amit Gupta

cardiothoracic radiologist and Modality Director of Diagnostic Radiography at University Hospitals Cleveland Medical Center

For conditions such as intracranial hemorrhage, time is of the essence and those precious minutes can be life-changing for our patients. We have done extensive validation of the Qure.ai qER solution and are excited to continue to partner with Qure.ai and improve care for our patients.

Benjamin W. Strong

MD and Chief Medical Officer

vRad

A multicenter publication on missed and mislabeled chest radiography findings including pneumothoraces and pleural effusions reported up to 96% sensitivity and 100% specificity for the qXR algorithm.

Dr Subba Digumarthy, MD

Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital

Associate Professor, Harvard Medical School

As an Emergency Medicine Physician, I have 4 to 5 patients undergoing various imaging studies at any time. The AI's ability to rapidly triage pneumothorax dramatically improves my speed and efficiency by alerting me to critical pathology far before a radiologist, or I personally have time to review the film.

Neil Roy

MD, MBA, FACEP, CPE; Chief Medical Officer

Shady Grove Medical Center

The collaboration between Qure.ai and Nuance helps make cutting-edge imaging AI easily integrated and accessible to different stakeholders in the US healthcare system. We’re excited to work together to bring scalable diagnostics solutions for providers and patients across the country.

Roland Dias

Vice President and General Manager

Nuance Precision Imaging Network

Medical imaging AI holds immense potential in the battle against lung cancer in the United States. It is great to see the breadth of FDA clearances rolling in to enable the exploration and activation of algorithms that can support radiologists and pulmonologists. This will help to detect lung nodules earlier using chest X-ray, and also analyze them in detail on chest CT.

Dr. Javier Zulueta

MD, Chief, Division of Pulmonary, Critical Care and Sleep Medicine at Mount Sinai Morningside, New York

AI serves as an additional set of eyes for radiologists, enhancing detection by flagging lung nodules that may require further evaluation. This AI-driven approach may aid in identifying more nodules which we hope supports patient care and enables us to evaluate the broader impact of medical imaging AI. The clinical trial will evaluate how many patients require follow-up CT scans, biopsies, and how many more lung cancer cases are diagnosed earlier using AI. The hope is that this clinical trial will not only advance early detection but also drive meaningful transformation in lung cancer surveillance

Amit Gupta

cardiothoracic radiologist and Modality Director of Diagnostic Radiography at University Hospitals Cleveland Medical Center

For conditions such as intracranial hemorrhage, time is of the essence and those precious minutes can be life-changing for our patients. We have done extensive validation of the Qure.ai qER solution and are excited to continue to partner with Qure.ai and improve care for our patients.

Benjamin W. Strong

MD and Chief Medical Officer

vRad

A multicenter publication on missed and mislabeled chest radiography findings including pneumothoraces and pleural effusions reported up to 96% sensitivity and 100% specificity for the qXR algorithm.

Dr Subba Digumarthy, MD

Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital

Associate Professor, Harvard Medical School

As an Emergency Medicine Physician, I have 4 to 5 patients undergoing various imaging studies at any time. The AI's ability to rapidly triage pneumothorax dramatically improves my speed and efficiency by alerting me to critical pathology far before a radiologist, or I personally have time to review the film.

Neil Roy

MD, MBA, FACEP, CPE; Chief Medical Officer

Shady Grove Medical Center

The collaboration between Qure.ai and Nuance helps make cutting-edge imaging AI easily integrated and accessible to different stakeholders in the US healthcare system. We’re excited to work together to bring scalable diagnostics solutions for providers and patients across the country.

Roland Dias

Vice President and General Manager

Nuance Precision Imaging Network

Medical imaging AI holds immense potential in the battle against lung cancer in the United States. It is great to see the breadth of FDA clearances rolling in to enable the exploration and activation of algorithms that can support radiologists and pulmonologists. This will help to detect lung nodules earlier using chest X-ray, and also analyze them in detail on chest CT.

Dr. Javier Zulueta

MD, Chief, Division of Pulmonary, Critical Care and Sleep Medicine at Mount Sinai Morningside, New York

AI serves as an additional set of eyes for radiologists, enhancing detection by flagging lung nodules that may require further evaluation. This AI-driven approach may aid in identifying more nodules which we hope supports patient care and enables us to evaluate the broader impact of medical imaging AI. The clinical trial will evaluate how many patients require follow-up CT scans, biopsies, and how many more lung cancer cases are diagnosed earlier using AI. The hope is that this clinical trial will not only advance early detection but also drive meaningful transformation in lung cancer surveillance

Amit Gupta

cardiothoracic radiologist and Modality Director of Diagnostic Radiography at University Hospitals Cleveland Medical Center

For conditions such as intracranial hemorrhage, time is of the essence and those precious minutes can be life-changing for our patients. We have done extensive validation of the Qure.ai qER solution and are excited to continue to partner with Qure.ai and improve care for our patients.

Benjamin W. Strong

MD and Chief Medical Officer

vRad

A multicenter publication on missed and mislabeled chest radiography findings including pneumothoraces and pleural effusions reported up to 96% sensitivity and 100% specificity for the qXR algorithm.

Dr Subba Digumarthy, MD

Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital

Associate Professor, Harvard Medical School

As an Emergency Medicine Physician, I have 4 to 5 patients undergoing various imaging studies at any time. The AI's ability to rapidly triage pneumothorax dramatically improves my speed and efficiency by alerting me to critical pathology far before a radiologist, or I personally have time to review the film.

Neil Roy

MD, MBA, FACEP, CPE; Chief Medical Officer

Shady Grove Medical Center

The collaboration between Qure.ai and Nuance helps make cutting-edge imaging AI easily integrated and accessible to different stakeholders in the US healthcare system. We’re excited to work together to bring scalable diagnostics solutions for providers and patients across the country.

Roland Dias

Vice President and General Manager

Nuance Precision Imaging Network

Medical imaging AI holds immense potential in the battle against lung cancer in the United States. It is great to see the breadth of FDA clearances rolling in to enable the exploration and activation of algorithms that can support radiologists and pulmonologists. This will help to detect lung nodules earlier using chest X-ray, and also analyze them in detail on chest CT.

Dr. Javier Zulueta

MD, Chief, Division of Pulmonary, Critical Care and Sleep Medicine at Mount Sinai Morningside, New York

AI serves as an additional set of eyes for radiologists, enhancing detection by flagging lung nodules that may require further evaluation. This AI-driven approach may aid in identifying more nodules which we hope supports patient care and enables us to evaluate the broader impact of medical imaging AI. The clinical trial will evaluate how many patients require follow-up CT scans, biopsies, and how many more lung cancer cases are diagnosed earlier using AI. The hope is that this clinical trial will not only advance early detection but also drive meaningful transformation in lung cancer surveillance

Amit Gupta

cardiothoracic radiologist and Modality Director of Diagnostic Radiography at University Hospitals Cleveland Medical Center

For conditions such as intracranial hemorrhage, time is of the essence and those precious minutes can be life-changing for our patients. We have done extensive validation of the Qure.ai qER solution and are excited to continue to partner with Qure.ai and improve care for our patients.

Benjamin W. Strong

MD and Chief Medical Officer

vRad

A multicenter publication on missed and mislabeled chest radiography findings including pneumothoraces and pleural effusions reported up to 96% sensitivity and 100% specificity for the qXR algorithm.

Dr Subba Digumarthy, MD

Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital

Associate Professor, Harvard Medical School

As an Emergency Medicine Physician, I have 4 to 5 patients undergoing various imaging studies at any time. The AI's ability to rapidly triage pneumothorax dramatically improves my speed and efficiency by alerting me to critical pathology far before a radiologist, or I personally have time to review the film.

Neil Roy

MD, MBA, FACEP, CPE; Chief Medical Officer

Shady Grove Medical Center

The collaboration between Qure.ai and Nuance helps make cutting-edge imaging AI easily integrated and accessible to different stakeholders in the US healthcare system. We’re excited to work together to bring scalable diagnostics solutions for providers and patients across the country.

Roland Dias

Vice President and General Manager

Nuance Precision Imaging Network

Medical imaging AI holds immense potential in the battle against lung cancer in the United States. It is great to see the breadth of FDA clearances rolling in to enable the exploration and activation of algorithms that can support radiologists and pulmonologists. This will help to detect lung nodules earlier using chest X-ray, and also analyze them in detail on chest CT.

Dr. Javier Zulueta

MD, Chief, Division of Pulmonary, Critical Care and Sleep Medicine at Mount Sinai Morningside, New York

AI serves as an additional set of eyes for radiologists, enhancing detection by flagging lung nodules that may require further evaluation. This AI-driven approach may aid in identifying more nodules which we hope supports patient care and enables us to evaluate the broader impact of medical imaging AI. The clinical trial will evaluate how many patients require follow-up CT scans, biopsies, and how many more lung cancer cases are diagnosed earlier using AI. The hope is that this clinical trial will not only advance early detection but also drive meaningful transformation in lung cancer surveillance

Amit Gupta

cardiothoracic radiologist and Modality Director of Diagnostic Radiography at University Hospitals Cleveland Medical Center