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Estimation of histopathological types from breast MRI findings using a large language model.

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Bibliographic Details
Title: Estimation of histopathological types from breast MRI findings using a large language model.
Authors: Kanasaki R; Division of Diagnostic Imaging and Nuclear Medicine, Department of Radiology, Tokyo Women's Medical University, 8-1, Kawada-cho, Shinjuku-ku, Tokyo, 162-8666, Japan. kanasaki.rie@twmu.ac.jp., Suzuki K; Division of Diagnostic Imaging and Nuclear Medicine, Department of Radiology, Tokyo Women's Medical University, 8-1, Kawada-cho, Shinjuku-ku, Tokyo, 162-8666, Japan., Ota T; Division of Diagnostic Imaging and Nuclear Medicine, Department of Radiology, Tokyo Women's Medical University, 8-1, Kawada-cho, Shinjuku-ku, Tokyo, 162-8666, Japan., Akashi-Tanaka S; Division of Breast Surgery, Department of Surgery, Tokyo Women's Medical University, Tokyo, Japan., Nagashima Y; Department of Surgical Pathology, Tokyo Women's Medical University, Tokyo, Japan., Sakai S; Division of Diagnostic Imaging and Nuclear Medicine, Department of Radiology, Tokyo Women's Medical University, 8-1, Kawada-cho, Shinjuku-ku, Tokyo, 162-8666, Japan.
Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2026 Apr 14. Date of Electronic Publication: 2026 Apr 14.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1861-6429
DOI:10.1007/s11548-026-03619-x