Redesigning Healthcare

with AI

It is not about replacing medical staff, and we are very clear that the AI-generated report is guidance for our clinicians who will make the final decision on whether they agree with it or not and will plan any treatment they deem necessary. But it has real potential to improve patient care and outcomes and to reduce delays in our emergency departments.

Dr Neelan Das

Consultant Interventional Radiologist & AI Lead at East Kent Hospitals University NHS Foundation Trust

Our collaboration with Blackford and Qure.ai empowers our Emergency Department with AI to swiftly identify critical head CTs scans, enabling us to prioritise and provide timely care to those who require it most. By harnessing the power of AI, we can improve clinical workflow efficiency therefore ensuring that we deliver the safest and most effective care for all of our patients.

Andrew Scott

PACS Manager / Imaging IT Systems Lead at Milton Keynes University Hospital NHS Foundation Trust

Chest X-ray interpretation tools like qXR can help prioritise potential lung cancer patients, ensuring they are fast-tracked for CT scans. We work with Qure to evaluate AI's role across Greater Manchester and how it can help meet the NHS's recommended guidelines for lung cancer diagnosis.

Dr. Rhidian Bramley

Consultant Radiologist, Clinical Lead for Diagnostics, Digital and Innovation at Greater Manchester Cancer Alliance

At present there is no proactive lung cancer screening programme in the Netherlands. This means that lung cancer cases present at a late stage when people start experiencing symptoms. Chest X-rays, one of the most performed radiological examinations in the world, provide an opportunity for earlier lung health surveillance, especially when leveraged with specialist AI

Dr Jacob J. Visser

Radiologist, Chief Medical Information Officer & Assistant-Professor of Value-based Imaging of Erasmus MC

Emergency Departments across the country continue to face challenges over winter with one person presenting at a UK ED every 90 seconds, potentially requiring brain imaging. By utilising the opportunities of innovative AI to help prioritise urgent cases, we will look to deliver critical interventions whilst improving workflow and time in the ED for patients with normal scans. The study looks to provide evidence to support adoption of AI across 4 centres in the UK. We hope this will support clinical teams in decision making to deliver critical clinical care, reassurance and, when appropriate, discharge, releasing capacity and space for patients in our pressured system

Professor David Lowe

Professor of Health Innovation at the University of Glasgow and Emergency Medicine Consultant at NHS Greater Glasgow and Clyde

It has been great working with Qure.ai and Sectra to deliver an AI-driven solution aimed at revolutionising diagnostic pathways in north east London. This provides patients with faster access to crucial diagnostic tests and improves overall healthcare delivery.

Oliver Hawkins

Senior Project Manager for North East London Cancer Alliance

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

Respiratory Consultant at Nottingham University Hospitals NHS Trust & Honorary Professor of Medicine at the University of Nottingham

In strategic partnership with Qure.ai, Medica Group is pioneering the integration of augmented intelligence into healthcare, improving patient outcomes by supporting clinicians with cutting-edge tools to enhance diagnostic accuracy.

Andrew Cannon

Chief Executive Officer, Medica Group

There aren’t many big clinical research studies focused on artificial intelligence to prove its real worth, so we’re really excited to be part of this study to help find clinical evidence for the benefits. We want all AI products to be properly researched and evidenced so this is an important study for the future of healthcare.

Dr James Hathorn

Consultant Radiologist and Principal investigator for the study at East Suffolk and North Essex NHS Foundation Trust (ESNEFT)

It is not about replacing medical staff, and we are very clear that the AI-generated report is guidance for our clinicians who will make the final decision on whether they agree with it or not and will plan any treatment they deem necessary. But it has real potential to improve patient care and outcomes and to reduce delays in our emergency departments.

Dr Neelan Das

Consultant Interventional Radiologist & AI Lead at East Kent Hospitals University NHS Foundation Trust

Our collaboration with Blackford and Qure.ai empowers our Emergency Department with AI to swiftly identify critical head CTs scans, enabling us to prioritise and provide timely care to those who require it most. By harnessing the power of AI, we can improve clinical workflow efficiency therefore ensuring that we deliver the safest and most effective care for all of our patients.

Andrew Scott

PACS Manager / Imaging IT Systems Lead at Milton Keynes University Hospital NHS Foundation Trust

Working with Qure and implementing the algorithm has been fantastic. The expertise and the flexibility provided by the team to integrate the solution into our bespoke systems is most commendable.

Kevin Terrins

Group Director of Corporate Development, Medica Group

Chest X-ray interpretation tools like qXR can help prioritise potential lung cancer patients, ensuring they are fast-tracked for CT scans. We work with Qure to evaluate AI's role across Greater Manchester and how it can help meet the NHS's recommended guidelines for lung cancer diagnosis.

Dr. Rhidian Bramley

Consultant Radiologist, Clinical Lead for Diagnostics, Digital and Innovation at Greater Manchester Cancer Alliance

At present there is no proactive lung cancer screening programme in the Netherlands. This means that lung cancer cases present at a late stage when people start experiencing symptoms. Chest X-rays, one of the most performed radiological examinations in the world, provide an opportunity for earlier lung health surveillance, especially when leveraged with specialist AI

Dr Jacob J. Visser

Radiologist, Chief Medical Information Officer & Assistant-Professor of Value-based Imaging of Erasmus MC

Emergency Departments across the country continue to face challenges over winter with one person presenting at a UK ED every 90 seconds, potentially requiring brain imaging. By utilising the opportunities of innovative AI to help prioritise urgent cases, we will look to deliver critical interventions whilst improving workflow and time in the ED for patients with normal scans. The study looks to provide evidence to support adoption of AI across 4 centres in the UK. We hope this will support clinical teams in decision making to deliver critical clinical care, reassurance and, when appropriate, discharge, releasing capacity and space for patients in our pressured system

Professor David Lowe

Professor of Health Innovation at the University of Glasgow and Emergency Medicine Consultant at NHS Greater Glasgow and Clyde

It has been great working with Qure.ai and Sectra to deliver an AI-driven solution aimed at revolutionising diagnostic pathways in north east London. This provides patients with faster access to crucial diagnostic tests and improves overall healthcare delivery.

Oliver Hawkins

Senior Project Manager for North East London Cancer Alliance

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

Respiratory Consultant at Nottingham University Hospitals NHS Trust & Honorary Professor of Medicine at the University of Nottingham

In strategic partnership with Qure.ai, Medica Group is pioneering the integration of augmented intelligence into healthcare, improving patient outcomes by supporting clinicians with cutting-edge tools to enhance diagnostic accuracy.

Andrew Cannon

Chief Executive Officer, Medica Group

There aren’t many big clinical research studies focused on artificial intelligence to prove its real worth, so we’re really excited to be part of this study to help find clinical evidence for the benefits. We want all AI products to be properly researched and evidenced so this is an important study for the future of healthcare.

Dr James Hathorn

Consultant Radiologist and Principal investigator for the study at East Suffolk and North Essex NHS Foundation Trust (ESNEFT)

It is not about replacing medical staff, and we are very clear that the AI-generated report is guidance for our clinicians who will make the final decision on whether they agree with it or not and will plan any treatment they deem necessary. But it has real potential to improve patient care and outcomes and to reduce delays in our emergency departments.

Dr Neelan Das

Consultant Interventional Radiologist & AI Lead at East Kent Hospitals University NHS Foundation Trust

Our collaboration with Blackford and Qure.ai empowers our Emergency Department with AI to swiftly identify critical head CTs scans, enabling us to prioritise and provide timely care to those who require it most. By harnessing the power of AI, we can improve clinical workflow efficiency therefore ensuring that we deliver the safest and most effective care for all of our patients.

Andrew Scott

PACS Manager / Imaging IT Systems Lead at Milton Keynes University Hospital NHS Foundation Trust

Working with Qure and implementing the algorithm has been fantastic. The expertise and the flexibility provided by the team to integrate the solution into our bespoke systems is most commendable.

Kevin Terrins

Group Director of Corporate Development, Medica Group

Chest X-ray interpretation tools like qXR can help prioritise potential lung cancer patients, ensuring they are fast-tracked for CT scans. We work with Qure to evaluate AI's role across Greater Manchester and how it can help meet the NHS's recommended guidelines for lung cancer diagnosis.

Dr. Rhidian Bramley

Consultant Radiologist, Clinical Lead for Diagnostics, Digital and Innovation at Greater Manchester Cancer Alliance

At present there is no proactive lung cancer screening programme in the Netherlands. This means that lung cancer cases present at a late stage when people start experiencing symptoms. Chest X-rays, one of the most performed radiological examinations in the world, provide an opportunity for earlier lung health surveillance, especially when leveraged with specialist AI

Dr Jacob J. Visser

Radiologist, Chief Medical Information Officer & Assistant-Professor of Value-based Imaging of Erasmus MC

Emergency Departments across the country continue to face challenges over winter with one person presenting at a UK ED every 90 seconds, potentially requiring brain imaging. By utilising the opportunities of innovative AI to help prioritise urgent cases, we will look to deliver critical interventions whilst improving workflow and time in the ED for patients with normal scans. The study looks to provide evidence to support adoption of AI across 4 centres in the UK. We hope this will support clinical teams in decision making to deliver critical clinical care, reassurance and, when appropriate, discharge, releasing capacity and space for patients in our pressured system

Professor David Lowe

Professor of Health Innovation at the University of Glasgow and Emergency Medicine Consultant at NHS Greater Glasgow and Clyde

It has been great working with Qure.ai and Sectra to deliver an AI-driven solution aimed at revolutionising diagnostic pathways in north east London. This provides patients with faster access to crucial diagnostic tests and improves overall healthcare delivery.

Oliver Hawkins

Senior Project Manager for North East London Cancer Alliance

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

Respiratory Consultant at Nottingham University Hospitals NHS Trust & Honorary Professor of Medicine at the University of Nottingham

In strategic partnership with Qure.ai, Medica Group is pioneering the integration of augmented intelligence into healthcare, improving patient outcomes by supporting clinicians with cutting-edge tools to enhance diagnostic accuracy.

Andrew Cannon

Chief Executive Officer, Medica Group

There aren’t many big clinical research studies focused on artificial intelligence to prove its real worth, so we’re really excited to be part of this study to help find clinical evidence for the benefits. We want all AI products to be properly researched and evidenced so this is an important study for the future of healthcare.

Dr James Hathorn

Consultant Radiologist and Principal investigator for the study at East Suffolk and North Essex NHS Foundation Trust (ESNEFT)

It is not about replacing medical staff, and we are very clear that the AI-generated report is guidance for our clinicians who will make the final decision on whether they agree with it or not and will plan any treatment they deem necessary. But it has real potential to improve patient care and outcomes and to reduce delays in our emergency departments.

Dr Neelan Das

Consultant Interventional Radiologist & AI Lead at East Kent Hospitals University NHS Foundation Trust

Our collaboration with Blackford and Qure.ai empowers our Emergency Department with AI to swiftly identify critical head CTs scans, enabling us to prioritise and provide timely care to those who require it most. By harnessing the power of AI, we can improve clinical workflow efficiency therefore ensuring that we deliver the safest and most effective care for all of our patients.

Andrew Scott

PACS Manager / Imaging IT Systems Lead at Milton Keynes University Hospital NHS Foundation Trust

Working with Qure and implementing the algorithm has been fantastic. The expertise and the flexibility provided by the team to integrate the solution into our bespoke systems is most commendable.

Kevin Terrins

Group Director of Corporate Development, Medica Group

Chest X-ray interpretation tools like qXR can help prioritise potential lung cancer patients, ensuring they are fast-tracked for CT scans. We work with Qure to evaluate AI's role across Greater Manchester and how it can help meet the NHS's recommended guidelines for lung cancer diagnosis.

Dr. Rhidian Bramley

Consultant Radiologist, Clinical Lead for Diagnostics, Digital and Innovation at Greater Manchester Cancer Alliance

At present there is no proactive lung cancer screening programme in the Netherlands. This means that lung cancer cases present at a late stage when people start experiencing symptoms. Chest X-rays, one of the most performed radiological examinations in the world, provide an opportunity for earlier lung health surveillance, especially when leveraged with specialist AI

Dr Jacob J. Visser

Radiologist, Chief Medical Information Officer & Assistant-Professor of Value-based Imaging of Erasmus MC

Emergency Departments across the country continue to face challenges over winter with one person presenting at a UK ED every 90 seconds, potentially requiring brain imaging. By utilising the opportunities of innovative AI to help prioritise urgent cases, we will look to deliver critical interventions whilst improving workflow and time in the ED for patients with normal scans. The study looks to provide evidence to support adoption of AI across 4 centres in the UK. We hope this will support clinical teams in decision making to deliver critical clinical care, reassurance and, when appropriate, discharge, releasing capacity and space for patients in our pressured system

Professor David Lowe

Professor of Health Innovation at the University of Glasgow and Emergency Medicine Consultant at NHS Greater Glasgow and Clyde

It has been great working with Qure.ai and Sectra to deliver an AI-driven solution aimed at revolutionising diagnostic pathways in north east London. This provides patients with faster access to crucial diagnostic tests and improves overall healthcare delivery.

Oliver Hawkins

Senior Project Manager for North East London Cancer Alliance

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

Respiratory Consultant at Nottingham University Hospitals NHS Trust & Honorary Professor of Medicine at the University of Nottingham

In strategic partnership with Qure.ai, Medica Group is pioneering the integration of augmented intelligence into healthcare, improving patient outcomes by supporting clinicians with cutting-edge tools to enhance diagnostic accuracy.

Andrew Cannon

Chief Executive Officer, Medica Group

There aren’t many big clinical research studies focused on artificial intelligence to prove its real worth, so we’re really excited to be part of this study to help find clinical evidence for the benefits. We want all AI products to be properly researched and evidenced so this is an important study for the future of healthcare.

Dr James Hathorn

Consultant Radiologist and Principal investigator for the study at East Suffolk and North Essex NHS Foundation Trust (ESNEFT)

It is not about replacing medical staff, and we are very clear that the AI-generated report is guidance for our clinicians who will make the final decision on whether they agree with it or not and will plan any treatment they deem necessary. But it has real potential to improve patient care and outcomes and to reduce delays in our emergency departments.

Dr Neelan Das

Consultant Interventional Radiologist & AI Lead at East Kent Hospitals University NHS Foundation Trust

Our collaboration with Blackford and Qure.ai empowers our Emergency Department with AI to swiftly identify critical head CTs scans, enabling us to prioritise and provide timely care to those who require it most. By harnessing the power of AI, we can improve clinical workflow efficiency therefore ensuring that we deliver the safest and most effective care for all of our patients.

Andrew Scott

PACS Manager / Imaging IT Systems Lead at Milton Keynes University Hospital NHS Foundation Trust

Working with Qure and implementing the algorithm has been fantastic. The expertise and the flexibility provided by the team to integrate the solution into our bespoke systems is most commendable.

Kevin Terrins

Group Director of Corporate Development, Medica Group

Chest X-ray interpretation tools like qXR can help prioritise potential lung cancer patients, ensuring they are fast-tracked for CT scans. We work with Qure to evaluate AI's role across Greater Manchester and how it can help meet the NHS's recommended guidelines for lung cancer diagnosis.

Dr. Rhidian Bramley

Consultant Radiologist, Clinical Lead for Diagnostics, Digital and Innovation at Greater Manchester Cancer Alliance

At present there is no proactive lung cancer screening programme in the Netherlands. This means that lung cancer cases present at a late stage when people start experiencing symptoms. Chest X-rays, one of the most performed radiological examinations in the world, provide an opportunity for earlier lung health surveillance, especially when leveraged with specialist AI

Dr Jacob J. Visser

Radiologist, Chief Medical Information Officer & Assistant-Professor of Value-based Imaging of Erasmus MC

Emergency Departments across the country continue to face challenges over winter with one person presenting at a UK ED every 90 seconds, potentially requiring brain imaging. By utilising the opportunities of innovative AI to help prioritise urgent cases, we will look to deliver critical interventions whilst improving workflow and time in the ED for patients with normal scans. The study looks to provide evidence to support adoption of AI across 4 centres in the UK. We hope this will support clinical teams in decision making to deliver critical clinical care, reassurance and, when appropriate, discharge, releasing capacity and space for patients in our pressured system

Professor David Lowe

Professor of Health Innovation at the University of Glasgow and Emergency Medicine Consultant at NHS Greater Glasgow and Clyde

It has been great working with Qure.ai and Sectra to deliver an AI-driven solution aimed at revolutionising diagnostic pathways in north east London. This provides patients with faster access to crucial diagnostic tests and improves overall healthcare delivery.

Oliver Hawkins

Senior Project Manager for North East London Cancer Alliance

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

Respiratory Consultant at Nottingham University Hospitals NHS Trust & Honorary Professor of Medicine at the University of Nottingham

In strategic partnership with Qure.ai, Medica Group is pioneering the integration of augmented intelligence into healthcare, improving patient outcomes by supporting clinicians with cutting-edge tools to enhance diagnostic accuracy.

Andrew Cannon

Chief Executive Officer, Medica Group

There aren’t many big clinical research studies focused on artificial intelligence to prove its real worth, so we’re really excited to be part of this study to help find clinical evidence for the benefits. We want all AI products to be properly researched and evidenced so this is an important study for the future of healthcare.

Dr James Hathorn

Consultant Radiologist and Principal investigator for the study at East Suffolk and North Essex NHS Foundation Trust (ESNEFT)

It is not about replacing medical staff, and we are very clear that the AI-generated report is guidance for our clinicians who will make the final decision on whether they agree with it or not and will plan any treatment they deem necessary. But it has real potential to improve patient care and outcomes and to reduce delays in our emergency departments.

Dr Neelan Das

Consultant Interventional Radiologist & AI Lead at East Kent Hospitals University NHS Foundation Trust

Our collaboration with Blackford and Qure.ai empowers our Emergency Department with AI to swiftly identify critical head CTs scans, enabling us to prioritise and provide timely care to those who require it most. By harnessing the power of AI, we can improve clinical workflow efficiency therefore ensuring that we deliver the safest and most effective care for all of our patients.

Andrew Scott

PACS Manager / Imaging IT Systems Lead at Milton Keynes University Hospital NHS Foundation Trust

Working with Qure and implementing the algorithm has been fantastic. The expertise and the flexibility provided by the team to integrate the solution into our bespoke systems is most commendable.

Kevin Terrins

Group Director of Corporate Development, Medica Group

Chest X-ray interpretation tools like qXR can help prioritise potential lung cancer patients, ensuring they are fast-tracked for CT scans. We work with Qure to evaluate AI's role across Greater Manchester and how it can help meet the NHS's recommended guidelines for lung cancer diagnosis.

Dr. Rhidian Bramley

Consultant Radiologist, Clinical Lead for Diagnostics, Digital and Innovation at Greater Manchester Cancer Alliance

At present there is no proactive lung cancer screening programme in the Netherlands. This means that lung cancer cases present at a late stage when people start experiencing symptoms. Chest X-rays, one of the most performed radiological examinations in the world, provide an opportunity for earlier lung health surveillance, especially when leveraged with specialist AI

Dr Jacob J. Visser

Radiologist, Chief Medical Information Officer & Assistant-Professor of Value-based Imaging of Erasmus MC

Emergency Departments across the country continue to face challenges over winter with one person presenting at a UK ED every 90 seconds, potentially requiring brain imaging. By utilising the opportunities of innovative AI to help prioritise urgent cases, we will look to deliver critical interventions whilst improving workflow and time in the ED for patients with normal scans. The study looks to provide evidence to support adoption of AI across 4 centres in the UK. We hope this will support clinical teams in decision making to deliver critical clinical care, reassurance and, when appropriate, discharge, releasing capacity and space for patients in our pressured system

Professor David Lowe

Professor of Health Innovation at the University of Glasgow and Emergency Medicine Consultant at NHS Greater Glasgow and Clyde

It has been great working with Qure.ai and Sectra to deliver an AI-driven solution aimed at revolutionising diagnostic pathways in north east London. This provides patients with faster access to crucial diagnostic tests and improves overall healthcare delivery.

Oliver Hawkins

Senior Project Manager for North East London Cancer Alliance

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

Respiratory Consultant at Nottingham University Hospitals NHS Trust & Honorary Professor of Medicine at the University of Nottingham

In strategic partnership with Qure.ai, Medica Group is pioneering the integration of augmented intelligence into healthcare, improving patient outcomes by supporting clinicians with cutting-edge tools to enhance diagnostic accuracy.

Andrew Cannon

Chief Executive Officer, Medica Group

There aren’t many big clinical research studies focused on artificial intelligence to prove its real worth, so we’re really excited to be part of this study to help find clinical evidence for the benefits. We want all AI products to be properly researched and evidenced so this is an important study for the future of healthcare.

Dr James Hathorn

Consultant Radiologist and Principal investigator for the study at East Suffolk and North Essex NHS Foundation Trust (ESNEFT)