Diagnosis, treatment, and prevention of ankle sprains: Comparing free chatbot recommendations with clinical guidelines
Year: 2024
Type: article
Abstract: BACKGROUND: Free chatbots powered by large language models offer lateral ankle sprains (LAS) treatment recommendations but lack scientific validation. METHODS: The chatbots-Claude, Perplexity, and ChatGPT-were evaluated by comparing their responses to a questionnaire and their treatment algorithms against current clinical guidelines. Responses were graded on accuracy, conclusiveness, supplementary information, and incompleteness, and evaluated individually and collectively, with a 60 % pass threshold. RESULTS: The collective analysis of the questionnaire showed Perplexity scored significantly higher than Claude and ChatGPT (p < 0.001). In the individual analysis, Perplexity provided significantly more supplementary information than the other chatbots (p < 0.001). All chatbots met the pass threshold. In the algorithm evaluation, ChatGPT scored significantly higher than the others (p = 0.023), with Perplexity below the pass threshold. CONCLUSIONS: Chatbots' recommendations generally aligned with current guidelines but sometimes missed crucial details. While they offer useful supplementary information, they cannot yet replace professional medical consultation or established guidelines.
Source: Foot and Ankle Surgery
Authors: Friederike Eva Roch, Franziska Melanie Hahn, Katharina Jäckle, Marc-Pascal Meier, Hartmut Stinus, Wolfgang Lehmann, Ronny Perthel, Paul Jonathan Roch
Institution: University of Göttingen
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,900
OpenAlex ID: W4405356954
