Benchmarking publicly accessible large language models for English-language patient-facing acute pancreatitis information: a cross-sectional study of quality, transparency, and readability
Background Patients increasingly rely on large language models (LLMs) for health information, yet their suitability for decision-critical conditions such as acute pancreatitis remains unclear. Given that acute pancreatitis requires timely symptom recognition, severity assessment, treatment decision-making, recurrence p...