Artificial Intelligence-enabled Decision Support in Surgery: State-of-the-art and Future Directions.

ABSTRACT:

Objective

To summarize state-of-the-art artificial intelligence-enabled decision support in surgery and to quantify deficiencies in scientific rigor and reporting.

Background

To positively affect surgical care, decision-support models must exceed current reporting guideline requirements by performing external and real-time validation, enrolling adequate sample sizes, reporting model precision, assessing performance across vulnerable populations, and achieving clinical implementation; the degree to which published models meet these criteria is unknown.

Methods

Embase, PubMed, and MEDLINE databases were searched from their inception to September 21, 2022 for articles describing artificial intelligence-enabled decision support in surgery that uses preoperative or intraop

SUBMITTER: Loftus TJ 

PROVIDER: S-EPMC12292512 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature