Research
Prompt injection attacks on vision-language models for surgical decision support
Publication date not yet evaluated · Added nih.gov
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Why it matters
Prompt injection against medical VLMs shows how safety-critical clinical AI systems can be manipulated, extending the injection threat surface into surgical decision support.
A PubMed-indexed study examines prompt injection attacks against vision-language models (VLMs) used for video-based surgical decision support, probing how such models can be manipulated in high-stakes clinical settings. The abstract notes VLMs' promise for understanding complex temporospatial surgical video but investigates their vulnerability to injected prompts.