SURGENT: A Surgical Multi-Agent Assistance System Across the Perioperative Workflow
The intricate nature of modern surgical care necessitates intelligent systems that can synthesize extensive patient records, support collaborative decision-making, and provide transparent, auditable reasoning across the entire perioperative workflow. Although web-based Large Language Models (LLMs) possess advanced reasoning capabilities, they are ill-equipped for surgical applications due to critical limitations: input length constraints, incomplete memory management, and limited traceability. T
Record details
Published: 28 May 2026
Source: arXiv
Category: Research
Topics: Healthcare · Agents & autonomy · Transparency
Retrieved: 14 July 2026
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ethics.ai (28 May 2026), “SURGENT: A Surgical Multi-Agent Assistance System Across the Perioperative Workflow,” evidence record 3540, https://ethics.ai/record/3540 (originally published by arXiv).
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