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Qure’s AI solution 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 AI) contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.

Dr_Amrita_Kumar_01_6d23a9b9d0.webp

Dr Amrita Kumar

Consultant Radiologist & AI Clinical Lead at Frimley Health NHS Foundation Trust

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_01_499a5c9f6c.webp

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_01_f2df337011.webp

We are excited to be partnering with Qure.ai to deploy qXR AI software into our teleradiology platform to assist physicians in highlighting life-threatening abnormalities and improve reporting time for critical cases.

Johnny-McDaniel-01.webp

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_de7cee0147.webp

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.webp

Qure’s AI solution 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 AI) contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.

Dr_Amrita_Kumar_01_6d23a9b9d0.webp

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_01_499a5c9f6c.webp

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_01_f2df337011.webp

We are excited to be partnering with Qure.ai to deploy qXR AI software into our teleradiology platform to assist physicians in highlighting life-threatening abnormalities and improve reporting time for critical cases.

Johnny-McDaniel-01.webp

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_de7cee0147.webp

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.webp

Qure’s AI solution 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 AI) contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.

Dr_Amrita_Kumar_01_6d23a9b9d0.webp

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_01_499a5c9f6c.webp

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_01_f2df337011.webp

We are excited to be partnering with Qure.ai to deploy qXR AI software into our teleradiology platform to assist physicians in highlighting life-threatening abnormalities and improve reporting time for critical cases.

Johnny-McDaniel-01.webp

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_de7cee0147.webp

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.webp

Qure’s AI solution 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 AI) contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.

Dr_Amrita_Kumar_01_6d23a9b9d0.webp

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_01_499a5c9f6c.webp

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_01_f2df337011.webp

We are excited to be partnering with Qure.ai to deploy qXR AI software into our teleradiology platform to assist physicians in highlighting life-threatening abnormalities and improve reporting time for critical cases.

Johnny-McDaniel-01.webp

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_de7cee0147.webp

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.webp

Qure’s AI solution 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 AI) contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.

Dr_Amrita_Kumar_01_6d23a9b9d0.webp

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_01_499a5c9f6c.webp

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_01_f2df337011.webp

We are excited to be partnering with Qure.ai to deploy qXR AI software into our teleradiology platform to assist physicians in highlighting life-threatening abnormalities and improve reporting time for critical cases.

Johnny-McDaniel-01.webp

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_de7cee0147.webp

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.webp

Qure’s AI solution 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 AI) contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department.

Dr_Amrita_Kumar_01_6d23a9b9d0.webp

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_01_499a5c9f6c.webp

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_01_f2df337011.webp

We are excited to be partnering with Qure.ai to deploy qXR AI software into our teleradiology platform to assist physicians in highlighting life-threatening abnormalities and improve reporting time for critical cases.

Johnny-McDaniel-01.webp

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_de7cee0147.webp

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.webp
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Impact & Evidence

Impact (Case study)12 Sep 2023

AI chest X-ray triage of normal / abnormal boosts radiology efficiency in UK NHS

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Evidence (Publications)09 Nov 2023

Using AI to Stratify Normal versus Abnormal Chest X-rays: Validation at East Kent

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