Benchmarking generative AI tools for interpretation of the WHO TB mutation catalogue

Abstract Background The World Health Organization (WHO) 2023 Mutation Catalogue for Mycobacterium tuberculosis is a vital but complex knowledgebase for interpreting drug-resistant TB. Its size and density pose challenges for clinicians and researchers, hindering its accessibility. This study aimed t...

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書誌詳細

主要な著者:	Miguel Moreno-Molina, Anita Suresh, Rebecca E. Colman, Timothy C. Rodwell
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2026-02-01
シリーズ:	BMC Digital Health
主題:	Artificial intelligence Large language models Tuberculosis Drug resistance Natural language processing Bioinformatics
オンライン･アクセス:	https://doi.org/10.1186/s44247-025-00225-w
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