Ling Tian

ORCID: 0009-0001-5150-7296 · 3 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…

other 2025
Regarding "Equity and Data Gaps in Real-World Endometriosis Management"
Journal of Minimally Invasive Gynecology ·doi:10.1016/j.jmig.2025.09.528