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No ORCID on file · 2 papers in corpus

other 2026

Evaluating AI-generated patient education materials for endometrial cancer surgery: a comparative analysis of response quality, reliability, and readability between ChatGPT and DeepSeek models

Frontiers in public health ·doi:10.3389/fpubh.2026.1831988

PURPOSE: This study aimed to evaluate and compare the quality, reliability, and readability of patient education materials on endometrial cancer surgery generated by ChatGPT (GPT-5) and DeepSeek (R1). MATERIALS AND METHODS: This cross-sect…

other 2026

Evaluating the quality and readability of AI-generated information on adenomyosis: a comparative analysis of ChatGPT and deepseek regarding query-model consistency

Frontiers in public health ·doi:10.3389/fpubh.2026.1785229

PURPOSE: To systematically evaluate and compare the quality, readability, and query-model consistency of adenomyosis-related content generated by two large language models, ChatGPT (GPT-5) and DeepSeek (R1). MATERIALS AND METHODS: In total…