Nature Review: LLM Safety and Security in Healthcare

jnkath · x · 2026-08-21

A review published in Nature discusses the safety and security of large language models in healthcare. Key threats identified include data poisoning, prompt injection, hallucination, bias, and sycophancy. The paper systematically evaluates the security of LLMs themselves and their integration into hospital workflows, emphasizing that human oversight and regulatory enforcement are essential for safe clinical adoption, alongside current mitigation strategies.

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