Health Care Science2026，Vol.5Issue(1)：P.19-28,10.DOI:10.1002/hcs2.70048
Assessing Large Language Models for Early Article Identification in Otolaryngology—Head and Neck Surgery Systematic Reviews
Ajibola B.Bakare 1Young Lee 2Jhuree Hong 3Claus-Peter Richter 4Jonathan P.Kuriakose5
作者信息
- 1. Tulane University School of Medicine,New Orleans,Louisiana,USA
- 2. Central Michigan University College of Medicine,Saginaw,Michigan,USA
- 3. Software Development Engineer,Independent Researcher,Seattle,Washington,USA
- 4. Department of Biomedical Engineering,Northwestern University,Evanston,Illinois,USA Department of Communication Sciences and Disorders,Northwestern University,Evanston,Illinois,USA The Hugh Knowles Center,Northwestern University,Evanston,Illinois,USA Department of Otolaryngology—Head&Neck Surgery,Northwestern Feinberg School of Medicine,Chicago,Illinois,USA
- 5. Department of Otolaryngology—Head&Neck Surgery,Northwestern Feinberg School of Medicine,Chicago,Illinois,USA
- 折叠
摘要
关键词
artificial intelligence/Bard/ChatGPT/large language models/systematic review分类
医药卫生引用本文复制引用
Ajibola B.Bakare,Young Lee,Jhuree Hong,Claus-Peter Richter,Jonathan P.Kuriakose..Assessing Large Language Models for Early Article Identification in Otolaryngology—Head and Neck Surgery Systematic Reviews[J].Health Care Science,2026,5(1):P.19-28,10.
