AI model identifies reports recommending additional patient imaging
A team at Brigham and Women’s Hospital developed a large language model (LLM) to identify recommendations for additional imaging using patient radiology reports culled from their system’s EHR. The model performed well in a test set and could be used to help ensure timely follow-ups, noted first author Dr. Nooshin Abbasi and colleagues.
“The large number of radiology reports generated daily, and the high rate of reports containing recommendations for additional imaging raises the possibility of using the AI model to actively monitor the EHR for radiology reports with RAI,” the group…
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