Comparative evaluation of large language model–based chatbots in a septic arthritis scenario: ChatGPT, Claude, and Perplexity
The LLM-based chat platforms demonstrated overall high performance, but their strengths differed across evaluation domains. While ChatGPT and Claude provided more comprehensive and detailed responses, Perplexity offered stronger reference sup port. These findings suggest that context-specific selection of LLMs is essential, as the optimal choice may vary depending on whether detailed explanation or robust referencing is prioritized. Cite this article as: Bayrak HC, Karagöz B, Bayrak Ö. Comparative evaluation of large language model-based chatbots in a septic arthritis scenario: ChatGPT, Claude, and Perplexity. Acta Orthop Traumatol Turc., 2025;59(6):415-420.
Authors
- Bekir Karagöz (ORCID: https://orcid.org/0000-0002-7447-452X)
- Oytun Bayrak (ORCID: https://orcid.org/0009-0004-5659-7309)
- Hünkar Çağdaş Bayrak (ORCID: https://orcid.org/0009-0003-4963-9980)
Institutions
- Bursa Technical University (TR)
- Eskişehir City Hospital (TR)
- S.B.Ü. Bursa Yüksek İhtisas Eğitim ve Araştırma Hastanesi (TR)
Publication Details
- Journal
- Acta Orthopaedica et Traumatologica Turcica
- Published
- 2025-10-28
- DOI
- https://doi.org/10.5152/j.aott.2025.25428
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65