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A surgical approach to building impactful artificial intelligence

Williams, Simon C; Khan, Danyal Z; Bano, Sophia; Blandford, Ann; Clarkson, Matthew J; Costanza, Enrico; Mazomenos, Evangelos B; ... Marcus, Hani J; + view all (2025) A surgical approach to building impactful artificial intelligence. npj Digital Medicine , 8 , Article 709. 10.1038/s41746-025-02073-4. Green open access

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Abstract

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.

Type: Article
Title: A surgical approach to building impactful artificial intelligence
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41746-025-02073-4
Publisher version: https://doi.org/10.1038/s41746-025-02073-4
Language: English
Additional information: This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Keywords: Computational biology and bioinformatics, Engineering, Mathematics and computing, Scientific community, Social sciences
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10217922
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