Hong-Ni He

No ORCID on file · 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
Combined magnetic resonance imaging with serum CA125 for dysmenorrhea in adenomyosis
Scientific reports ·doi:10.1038/s41598-025-26412-3

To evaluate the synergistic predictive capacity of MRI lesion classification and serum CA125 for symptom manifestation (dysmenorrhea/menorrhagia) and explore associated adenomyosis pathogenesis. Patients before focused ultrasound ablation s…