Clinical quality of large language model responses to thyroid surgery questions: an expert comparative evaluation.

Assessment of accuracy, quality, and readability of large language models in kidney transplantation practice

Assessing the reliability of AI-generated responses to patient-oriented lung cancer questions: a multi-platform study

Large language models (LLMs) are increasingly used by patients seeking lung cancer–related medical information. Recent studies have increasingly compared multiple LLMs for patient-facing medical information; however, differences in clinically relevant performance dimensions and consistency across repeated responses rem...

Responses of large language models to common questions on premature ovarian insufficiency: A comparative analysis.

GPT-5.5, Claude Opus-4.7, and DeepSeek-R1 demonstrated favorable accuracy and completeness in answering standardized POI questions; overall performance was similar despite deviations across several individual questions.

Diagnostic accuracy of multimodal large language models compared with oral medicine specialists: a benchmarking study in salivary gland diseases

This study aimed to compare the diagnostic accuracy of multimodal Large Language Models (LLMS), namely, ChatGPT-5, ChatGPT-4o, and Gemini Pro 2.5, with board-certified oral medicine specialists. In this retrospective diagnostic accuracy study, 300 histopathologically confirmed salivary gland disease cases served as the...

Benchmarking Large Language Model Performance in Generating and Assessing Radiology Objective Structured Clinical Examination

This study provides a benchmark of LLM performance for radiology OSCE-style content generation and evaluation during a specific snapshot of artificial intelligence development (August 2024).

Large Language Models versus Expert Response: A Comparative Analysis of Patient Education Quality after Skull Base Surgery

Abstract Objective Patients undergoing endoscopic skull base surgery (ESBS) often seek postoperative guidance. Large language models (LLMs) are increasingly accessible resources, but their quality in this setting remains poorly studied. This study compared LLM-generated responses with expert responses for common postop...