Artificial Intelligence in Medical and Surgical Information: A Systematic Review of Accuracy, Readability, Reliability, and Emotional Resonance

Background

Large Language Models (LLMs) are increasingly utilized for patient-facing healthcare communication. However, their clinical utility remains constrained by communicative, ethical, and safety challenges. This systematic review provides a cross-specialty evaluation of conversational AI, synthesizing evidence on accuracy, readability, informational quality, and emotional resonance.