In the Spotlight: Qure at RSNA 2023
Hear from Our Customers & Partners
AI Theatre Session
Real world evidence, workflow efficiencies with Qure.ai
Date: 27th Nov, Monday | 12:00PM CST
Venue: RSNA AI Theatre
Speakers:
Dr. Amrita Kumar
AI Clinical Lead & Consultant Radiologist, Frimley Health NHS Foundation Trust
Dr Sohail Contractor
Chief of Radiology, University of Louisville
At Blackford Booth
Qure.ai: Driving efficient workflows
Date: 26th Nov, Sunday | 3:45PM CST
Venue: Ignite AI Visionary Theater, #4747
Speaker:
Dr Samir Shah
Chief Medical Officer, Qure.ai
Demo Session
AI in Practice Demonstration at RSNA 2023
Date: November 26 – 29
Venue: AI Showcase South Hall A, Level 3, Booth 4358
Key Opinion Leader Sessions at the Qure booth (#4573)
Speaker Session
AI in thoracic imaging
Dr. Mannudeep Kalra
Director, Webster Center for Quality and Safety, Department of Radiology, Professor of Radiology, Harvard Medical School
Speaker Session • Nov 28, 2023 Tuesday
AI in outpatient settings
Time: Tuesday | 3:00pm CST
Dr. Giovanni Lorenz
Cardiac and Thoracic Radiologist, DocPanel
Speaker Session • Nov 29, 2023 Wednesday
AI in Neuro-Critical Workflows
Time: Wednesday | 11:00am CST
Dr. Remy Lobo
Clinical Assistant Professor, Neuroradiology, University of Michigan (USA)
Dr. Alex Novak
RCEM Associate Professor of Emergency Medicine (UK)
AI Powered Reporting & Seamless Collaboration with app.qure.ai
“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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
Consultant Radiologist and AI Clinical Lead Frimley Health NHS Foundation Trust
“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
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Interventional Neuroradiologist Skåne University Hospital and Lund University, Sweden
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
CEO Therapixel
“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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
Consultant Radiologist and AI Clinical Lead Frimley Health NHS Foundation Trust
“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
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Interventional Neuroradiologist Skåne University Hospital and Lund University, Sweden
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
CEO Therapixel
“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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
Consultant Radiologist and AI Clinical Lead Frimley Health NHS Foundation Trust
“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
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Interventional Neuroradiologist Skåne University Hospital and Lund University, Sweden
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
CEO Therapixel
“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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
Consultant Radiologist and AI Clinical Lead Frimley Health NHS Foundation Trust
“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
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Interventional Neuroradiologist Skåne University Hospital and Lund University, Sweden
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
CEO Therapixel
“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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
Consultant Radiologist and AI Clinical Lead Frimley Health NHS Foundation Trust
“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
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Interventional Neuroradiologist Skåne University Hospital and Lund University, Sweden
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
CEO Therapixel
“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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
Consultant Radiologist and AI Clinical Lead Frimley Health NHS Foundation Trust
“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
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Interventional Neuroradiologist Skåne University Hospital and Lund University, Sweden
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
CEO Therapixel
“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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
Consultant Radiologist and AI Clinical Lead Frimley Health NHS Foundation Trust
“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
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Interventional Neuroradiologist Skåne University Hospital and Lund University, Sweden
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
CEO Therapixel
“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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
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
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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
“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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
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
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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
“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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
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
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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
“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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
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
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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
“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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
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
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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
“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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"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
“AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure’s qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.”
Dr Amrita Kumar
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
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
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
“Qure.ai’s technology makes it possible to systematically measure brain hemorrhages precisely and rapidly in patients with stroke or trauma. Fully automated quantification could soon become the standard of care.”
Dr Johan Wasselius
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
"We are excited to partner with Qure.ai and expand the reach of MammoScreen across the globe. Qure.ai’s extensive distribution network will enable us to deliver our innovative mammography solution to healthcare providers worldwide, enabling early detection of breast cancer and improved patient outcomes”.
Matthieu Leclerc-Chalvet
Attending Radiologist, Thoracic Imaging, Massachusetts General Hospital Associate Professor, Harvard Medical School
