Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification.

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Title: Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification.
Authors: Lin KH; Department of Information Management, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.; Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan, ROC., Kao TH; Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC., Wang LC; Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC., Kuo CT; Department of Information Management, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.; Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan, ROC., Chen PC; Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC., Chu YC; Department of Information Management, Taipei Veterans General Hospital, Taipei, Taiwan, ROC. xd.yuanchia@gmail.com.; Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan, ROC. xd.yuanchia@gmail.com.; Big Data Center, Taipei Veterans General Hospital, Taipei, Taiwan, ROC. xd.yuanchia@gmail.com., Yeh YC; Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC. lordaaa@gmail.com.; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC. lordaaa@gmail.com.
Source: NPJ precision oncology [NPJ Precis Oncol] 2025 May 15; Vol. 9 (1), pp. 141. Date of Electronic Publication: 2025 May 15.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101708166 Publication Model: Electronic Cited Medium: Print ISSN: 2397-768X (Print) Linking ISSN: 2397768X NLM ISO Abbreviation: NPJ Precis Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2397-768X
DOI:10.1038/s41698-025-00935-4