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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Autors principals:	Miguel Moreno-Molina, Anita Suresh, Rebecca E. Colman, Timothy C. Rodwell
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2026-02-01
Col·lecció:	BMC Digital Health
Matèries:	Artificial intelligence Large language models Tuberculosis Drug resistance Natural language processing Bioinformatics
Accés en línia:	https://doi.org/10.1186/s44247-025-00225-w
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