Clinical decision support using large language models in otolaryngology: a systematic review.

Objective: This systematic review evaluated the diagnostic accuracy of large language models (LLMs) in otolaryngology-head and neck surgery clinical decision-making.

Data Sources: PubMed/MEDLINE, Cochrane Library, and Embase databases were searched for studies investigating clinical decision support accuracy of LLMs in otolaryngology.

Review Methods: Three investigators searched the literature for peer-reviewed studies investigating the application of LLMs as clinical decision support for real clinical cases according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.