AI Scans Approved to Enhance Fracture Detection in England's NHS
The NHS in England has been approved to use artificial intelligence for fracture detection, helping reduce missed or late diagnoses. This technology will aid medical professionals without replacing their expertise and costs one pound per scan. The AI implementation, recommended by Nice, aims to enhance diagnostic accuracy and reduce burden on radiology departments, with consultations open until November 5.
The NHS in England has received approval from the National Institute for Health and Care Excellence (Nice) to incorporate artificial intelligence in detecting bone fractures.
This initiative targets reducing overlooked fractures, which are a common error in A&E units, affecting roughly 10% of cases.
By utilizing AI scans, priced at one pound each, the aim is to prevent patient harm from missed or late fracture diagnoses and alleviate health service pressures.
Nice provided evidence that AI could enhance fracture detection without increasing incorrect diagnoses, thus helping reduce diagnostic disparities across England.
This strategy also offers potential relief amidst the NHS workforce crisis, aiming to decrease follow-up appointments caused by initial diagnostic errors.
AI platforms approved for use include TechCare Alert, Rayvolve, BoneView, and RBfracture, with guidance for deployment as supplements to professional analysis.
Mark Chapman of Nice emphasized how AI technology supports and expedites diagnostic processes, assisting radiologists facing high demand.
These advancements, welcomed by the Society of Radiographers, aim to enhance accuracy while complementing professional expertise.
The draft recommendations will remain open for consultation until November 5.
This initiative targets reducing overlooked fractures, which are a common error in A&E units, affecting roughly 10% of cases.
By utilizing AI scans, priced at one pound each, the aim is to prevent patient harm from missed or late fracture diagnoses and alleviate health service pressures.
Nice provided evidence that AI could enhance fracture detection without increasing incorrect diagnoses, thus helping reduce diagnostic disparities across England.
This strategy also offers potential relief amidst the NHS workforce crisis, aiming to decrease follow-up appointments caused by initial diagnostic errors.
AI platforms approved for use include TechCare Alert, Rayvolve, BoneView, and RBfracture, with guidance for deployment as supplements to professional analysis.
Mark Chapman of Nice emphasized how AI technology supports and expedites diagnostic processes, assisting radiologists facing high demand.
These advancements, welcomed by the Society of Radiographers, aim to enhance accuracy while complementing professional expertise.
The draft recommendations will remain open for consultation until November 5.
