Performance of ChatGPT-4o in Determining Radiology-Pathology Concordance and Management Recommendations Following Image-Guided Breast Biopsies.

ABSTRACT: Background: Determining radiology-pathology concordance after breast biopsies is critical to ensuring appropriate patient management. However, expertise and multidisciplinary input are not universally accessible. Purpose: To evaluate the performance of a large language model, ChatGPT-4o, in determining the radiology-pathology concordance of breast biopsies and suggesting subsequent management steps. Methods: A retrospective single-center study analyzed 244 cases of image-guided breast biopsies of women. ChatGPT-4o assessed de-identified radiology and pathology reports for concordance and recommended management. Radiologist assessments served as the reference standard with final surgical pathology and 2-year imaging follow-up serving as gold standards when applicable. C

SUBMITTER: Lee A 

PROVIDER: S-EPMC12523907 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature