University Hospitals of Leicester NHS Trust has implemented an AI-powered chest x-ray solution as part of the LungIMPACT research study.
Utilizing Qure.ai’s qXR AI integrated into the Radiology Information System from Magentus, the trust will review 100-150 GP-referred x-rays daily to identify potential lung abnormalities and provide immediate reporting to clinicians for next-stage decision-making.
The LungIMPACT study, a collaboration between Qure.ai, UK academia, and NHS hospitals, aims to gather real-world evidence of AI-assisted lung cancer diagnoses. University Hospitals of Leicester joins other NHS trusts in the trial, including University College London Hospitals, Nottingham University Hospitals, and East Suffolk and North Essex NHS Foundation Trust.
Dr. Indrajeet Das, consultant cardiothoracic radiologist at University Hospitals of Leicester NHS Trust, emphasized the AI’s ability to rapidly segregate normal and abnormal chest x-ray results, prioritizing cases for radiologist review and potential CT scan referral. The AI’s configuration allows for seamless switching between chest x-ray and CT reporting, optimizing diagnostic imaging workflow.
Christopher Ladds, acting CEO of Magentus, highlighted the project’s benefits for clinicians, providing granular workflow control and maximizing resource utilization through seamless switching between different imaging modality reporting. The implementation of Qure’s qXR AI into RIS at University Hospitals of Leicester NHS Trust is a significant step forward in digital agility within radiology.
