Volume 9, Issue 2

Guideline concordance of large language models for ERAS colorectal surgery recommendations: a blinded, clinician-rated comparison of Google Gemini and ChatGPT

Background: Large language models (LLMs) are increasingly used by clinicians and trainees for perioperative decision support, yet their alignment with Enhanced Recovery After Surgery (ERAS) recommendations remains uncertain. Methods: We converted the 2025 ERAS Society recommendations for elective colorectal surgery into a 52-question bank (preoperative…

New Horizons in Digital Health: The Role of ChatGPT in Knowledge Quality and Patient Education in AI-Assisted Menopause Counseling

Aim: This study aimed to assess the accuracy, completeness, and comprehensiveness of large language model based artificial intelligence responses in menopause counseling. Specifically, it evaluated the clinical accuracy and guideline consistency of ChatGPT’s answers to commonly asked menopause-related questions. Methods: In this cross-sectional descriptive study,…

Assessment of Quality, Reliability, and Popularity of Kidney Cancer–Related YouTube™ Videos: A Cross-Sectional Study

Objective: This study aimed to systematically evaluate the informational quality, reliability, and popularity of kidney cancer–related content on YouTube™ using validated assessment tools. Methods: A total of 300 YouTube™ videos identified using kidney cancer–related search terms were screened, and 157 videos meeting the predefined inclusion…

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