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Updated: Jan 10, 2026
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A surgical approach to building impactful artificial intelligence
Simon C Williams1,2, Danyal Z Khan3,4, Sophia Bano4
1National Hospital for Neurology and Neurosurgery, London, UK. rmapwil@ucl.ac.uk.
NPJ Digital Medicine
|November 21, 2025
Summary
AI in surgical video analysis improves accuracy but user expertise and AI explainability impact outcomes. Trust and transparency are key for safe AI integration in surgery.
Area of Science:
- Surgical Artificial Intelligence (AI)
- Human-Computer Interaction (HCI)
Background:
- Recent studies highlight divergent outcomes in surgical AI video analysis.
- AI-assistance generally improves accuracy but user factors are critical.
Purpose of the Study:
- To explore human-computer interaction factors influencing surgical AI effectiveness.
- To advocate for structured evaluation frameworks for AI integration in surgery.
Main Methods:
- Commentary synthesizing findings from two surgical AI video analysis studies.
- Analysis of human-computer interaction elements: trust, usability, and explainability.
Main Results:
- AI-assistance enhances surgical video analysis accuracy.
- User expertise and AI explainability significantly modulate AI's impact.
- Trust and transparency are critical determinants of AI effectiveness.
Conclusions:
- Effective and safe integration of AI in surgery requires addressing HCI factors.
- Structured evaluation frameworks are necessary to ensure reliable AI implementation in surgical practice.
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