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<p>Two recent studies in surgical AI video analysis show divergent outcomes based on user expertise and AI explainability. While both demonstrate improved accuracy with AI-assistance, differences in trust and transparency critically shaped impact. This commentary explores human-computer interaction factors such as trust, usability, and explainability, and argues for structured evaluation frameworks to ensure effective, safe integration of AI into surgical practice.</p>

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A surgical approach to building impactful artificial intelligence

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月21日

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  • Simon C. Williams,
  • Danyal Z. Khan,
  • Sophia Bano,
  • Ann Blandford,
  • Matthew J. Clarkson,
  • Enrico Costanza,
  • Evangelos B. Mazomenos,
  • Danail Stoyanov,
  • Peter McCulloch,
  • Hani J. Marcus

摘要

Two recent studies in surgical AI video analysis show divergent outcomes based on user expertise and AI explainability. While both demonstrate improved accuracy with AI-assistance, differences in trust and transparency critically shaped impact. This commentary explores human-computer interaction factors such as trust, usability, and explainability, and argues for structured evaluation frameworks to ensure effective, safe integration of AI into surgical practice.