Article intro - Delphi study on Surgical AI
Collins et al. published in npj Digital Surgery: "Guidance on AI-enhanced surgical practice: a Delphi consensus on ontology, data, implementation and evaluation". Full reference: Justin W. Collins, Marco Montesi, Danail Stoyanov, Carla M. Pugh, Marcio C. Moschovas, Denny Yu, Shady Saikali, Jeffrey S. Levy, Zafer Tandogdu, Filippo Filicori, Dimitrios Stefanidis, Swaroop S. Vedula, Martin A. Martino & Gretchen P. Jackson, npj Digital Surgery volume 1, Article number: 17 (2026). Abstract AI-enhanced surgical care lacks standardized frameworks for implementation, evaluation, and governance, limiting safe and scalable adoption. This study integrates a systematic review, expert consensus meeting, and accelerated Delphi process involving 50 expert stakeholders to address these gaps. Consensus was reached with high reliability in over 150 elements defining standards in ontology, data, implementation, and evaluation. The resulting guidance emphasizes rigorous study design,...
