Health Imaging August 19, 2024
Large language models could be leveraged to help provide feedback on radiology residents’ preliminary reports during independent call.
With resources stretched thin at many facilities, this type of feedback can often be limited while residents are on call. The growing capabilities of large language models, like OpenAI’s ChatGPT, could help address the issue by identifying and flagging residents’ missed diagnoses, authors of a new paper in Current Problems in Diagnostic Radiology report.
“Methods for automatically identifying discrepancies between preliminary and final reports have been proposed, primarily using a combination of simple text discrepancy identifiers and standard review macros,” Wasif Bala, MD, with the Department of Radiology and Imaging Sciences at Emory University Hospital, and colleagues note. “Emerging technologies...
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