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Large language models could impact breast imaging reports classification

Use of publicly available large language models (LLMs) resulted in changes in breast imaging reports classification that could have a negative effect on patient management, according to a new international study published today in the journal Radiology, a journal of the Radiological Society of North America.

GPT-4, Google Gemini fall short in breast imaging classification, study finds

GPT-4, Google Gemini fall short in breast imaging classification, study finds
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Collaborative Modeling to Compare Different Breast Cancer Screening Strategies: A Decision Analysis for the US Preventive Services Task Force | Breast Cancer | JAMA

This modeling study uses Cancer Intervention and Surveillance Modeling Network models and national data on breast cancer incidence, mammography

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