Medical Xpress September 4, 2025
Input and expertise from radiologists can help develop better and more trustworthy artificial intelligence (AI) tools, new research shows. The study used radiologists’ eye movements to help guide AI systems to focus on the most clinically relevant areas of medical images.
When combined with other AI systems, this helps to improve diagnostic performance by up to 1.5% and align machine behavior more closely with expert human judgment, according to the team of researchers from Cardiff University and the University Hospital of Wales (UHW).
Their findings, published in IEEE Transactions on Neural Networks and Learning Systems, could support decision-making in diagnoses by radiologists and grow medical AI adoption to help meet some of the challenges facing the NHS.
Dr. Richard White,...
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