To trust or not to trust: evaluating the reliability and safety of AI responses to laryngeal cancer queries.
Magdalena OstrowskaPaulina KacałaDeborah OnolememenKatie Vaughan-LaneAnitta Sisily JosephAdam OstrowskiWioletta PietruszewskaJacek BanaszewskiMaciej J WróbelPublished in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2024)
LLMs can be valuable resources for patients seeking information on laryngeal cancer. ChatGPT 3.5 provided the most reliable and safe responses among the models evaluated.
Keyphrases
- papillary thyroid
- end stage renal disease
- squamous cell
- health information
- ejection fraction
- chronic kidney disease
- newly diagnosed
- mental health
- prognostic factors
- peritoneal dialysis
- squamous cell carcinoma
- artificial intelligence
- lymph node metastasis
- machine learning
- patient reported outcomes
- deep learning
- patient reported