Assessing Large Language Models for Oncology Data Inference From Radiology Reports.

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Bibliographic Details
Title: Assessing Large Language Models for Oncology Data Inference From Radiology Reports.
Authors: Chen LC; University of California, Berkeley, Berkeley, CA.; University of California, San Francisco, San Francisco, CA., Zack T; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA.; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA., Demirci A; University of California, Berkeley, Berkeley, CA., Sushil M; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA., Miao B; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA., Kasap C; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA., Butte A; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA., Collisson EA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA., Hong JC; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA.; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA.
Source: JCO clinical cancer informatics [JCO Clin Cancer Inform] 2024 Dec; Vol. 8, pp. e2400126. Date of Electronic Publication: 2024 Dec 11.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: American Society of Clinical Oncology Country of Publication: United States NLM ID: 101708809 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4276 (Electronic) Linking ISSN: 24734276 NLM ISO Abbreviation: JCO Clin Cancer Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2473-4276
DOI:10.1200/CCI.24.00126