This comprehensive survey examines critical challenges in deploying Large Language Models (LLMs) in healthcare settings, with a focus on ensuring their reliable and ethical use.

• Truthfulness challenges: LLMs can generate misleading medical information that impacts patient safety
• Privacy concerns: Risks of unintentional patient data retention in model training
• Robustness requirements: Need for defenses against adversarial attacks in clinical systems
• Ethical deployment: Framework for evaluating trustworthiness dimensions in healthcare AI

This research is crucial for healthcare organizations implementing AI, as it provides a structured approach to assess risks and establish safeguards before integrating LLMs into critical medical applications.

A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare