Article

Red-Teaming Medical AI: Systematic Adversarial Evaluation of LLM Safety Guardrails in Clinical Contexts

2026-03-05

Abstract excerpt

<h4>Background</h4> Large language models (LLMs) are increasingly deployed in medical contexts as patient-facing assistants, providing medication information, symptom triage, and health guidance. Understanding their robustness to adversarial inputs is critical for patient safety, as even a single safety failure can lead to adverse outcomes including severe harm or death. <h4>Objective</h4> To systematically eval...

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Literature Corpus work: b4ecb849-2519-5d11-925e-87233af8da14
DOI: 10.64898/2026.02.26.26347212

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