Aug 2026· International journal of impotence research· 0 citations· 8 references
Medicine
TL;DR
Domain-level analysis showed consistently high median scores for factual accuracy among top-performing models, whereas variability was more pronounced in clarity, structure, and clinical utility, whereas variability was more pronounced in clarity, structure, and clinical utility.
PURPOSE
Erectile dysfunction (ED) is a highly prevalent but often under-reported and under-diagnosed condition. Many men are reluctant and embarrassed to seek proper medical care and invariably turn to online resources, including large language models such as ChatGPT for answers. We aimed to analyse ChatGPT responses t...
Nicholas Gillman, S. Budz, M. Gillman et al.· The World Journal of Men's H...· 0 citations
Background: The reliability of generative artificial intelligence for Chinese medical information remains uncertain. This study evaluates the concordance and linguistic performance of three generative artificial intelligence systems in generating Chinese information on Ménière’s disease against clinical practice guidel...
While all four models exhibited comparable adherence to guideline-based content, DeepSeek-R1 demonstrated superior performance in supplementary informational value and readability, highlighting the importance of evaluating LLMs not only for accuracy but also for their capacity to enhance clinical communication and deci...
Li Xu, Xu Qiu, Jia-Yi Deng et al.· Neurology Asia· 0 citations
ChatGPT 5.2 is a valuable AI–assisted chatbot that facilitates patient education by providing responses regarding sleeve gastrectomy that are generally accurate and acceptable, but the categorization of 4–16% of the responses as "Incorrect," the overall difficult readability levels, and the significant variability obse...
Furkan Türkoğlu, Elif Nur Gencer, Emre Erdoğan· Archives of Current Medical...· 0 citations
Background: Large Language Models (LLMs) are increasingly utilized for patient-facing healthcare communication. However, their clinical utility remains constrained by communicative, ethical, and safety challenges. This systematic review provides a cross-specialty evaluation of conversational AI, synthesizing evidence o...
F. Leonforte, A. Cavallaro, V. Nicosia et al.· Applied Informatics· 0 citations
Objective: The quality of information provided to patients with neurological disorders using large language model (LLM)-based artificial intelligence (AI) chatbots has not been sufficiently investigated. The aim of this study was to evaluate and compare the quality of responses generated by ChatGPT, Google Gemini, and...
C. Oflezer, Mert Göbel· Comprehensive Medicine· 0 citations
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