Q&A: A new medical AI model can help spot systemic disease by looking at a range of image types

Medical Xpress November 18, 2024
Stefan Milne, University of Washington

Artificial intelligence is making impressive strides in its ability to read medical images. In a recent test in Britain’s National Health Service, an AI tool looked at the mammograms of over 10,000 women and correctly identified which patients were found to have cancer. The AI also caught 11 cases doctors had missed. But systemic diseases, such as lupus and diabetes, present a greater challenge for these systems, since diagnosis often involves many kinds of medical images, from MRIs to CT scans.

Sheng Wang, a University of Washington assistant professor in the Paul G. Allen School of Computer Science & Engineering, worked with co-authors at Microsoft Research and Providence Genetics and Genomics to create BiomedParse, an AI medical image analysis model...

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