Application of AI Models for Preventing Surgical Complications: Scoping Review of Clinical Readiness and Barriers to Implementation.

ABSTRACT:

Background

The impact of surgical complications is substantial and multifaceted, affecting patients and their families, surgeons, and health care systems. Despite the remarkable progress in artificial intelligence (AI), there remains a notable gap in the prospective implementation of AI models in surgery that use real-time data to support decision-making and enable proactive intervention to reduce the risk of surgical complications.

Objective

This scoping review aims to assess and analyze the adoption and use of AI models for preventing surgical complications. Furthermore, this review aims to identify barriers and facilitators for implementation at the bedside.

Methods

Following PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension f

SUBMITTER: Mevik K 

PROVIDER: S-EPMC12912657 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature