{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:36Z","timestamp":1755219876439,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686080","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:p>Background: Interpreting genomic variants from cancer sequencing data is a critical yet complex task in precision oncology. With advances in large language models (LLMs), there is increasing interest in leveraging their capacity for variant classification. This study benchmarks three state-of-the-art LLMs \u2014 GPT-4o, LLaMA 3, and Qwen 2.5 \u2014 on curated cancer variant databases to assess their utility in clinical genomic interpretation.<\/jats:p>","DOI":"10.3233\/shti251185","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:43:46Z","timestamp":1754567026000},"source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Large Language Models for Cancer Variant Classification: A Comparative Study of GPT-4o, LLaMA 3, and Qwen 2.5"],"prefix":"10.3233","author":[{"given":"Kuan-Hsun","family":"Lin","sequence":"first","affiliation":[{"name":"Department of Information Management, Taipei Veterans General Hospital, Taipei, 11267, Taiwan, R.O.C."},{"name":"Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, 11219, Taiwan, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul Chih-Hsueh","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, 11267, Taiwan, R.O.C."},{"name":"School of Medicine, National Yang Ming Chiao Tung University, 112304, Taipei, Taiwan, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen-Tsung","family":"Kuo","sequence":"additional","affiliation":[{"name":"Department of Information Management, Taipei Veterans General Hospital, Taipei, 11267, Taiwan, R.O.C."},{"name":"Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, 11219, Taiwan, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan-Chia","family":"Chu","sequence":"additional","affiliation":[{"name":"Department of Information Management, Taipei Veterans General Hospital, Taipei, 11267, Taiwan, R.O.C."},{"name":"Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, 11219, Taiwan, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Chen","family":"Yeh","sequence":"additional","affiliation":[{"name":"Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, 11267, Taiwan, R.O.C."},{"name":"School of Medicine, National Yang Ming Chiao Tung University, 112304, Taipei, Taiwan, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI251185","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:43:46Z","timestamp":1754567026000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251185"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251185","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}