Machine learning applications in upper gastrointestinal cancer surgery: a systematic review.

ABSTRACT:

Background

Machine learning (ML) has seen an increase in application, and is an important element of a digital evolution. The role of ML within upper gastrointestinal surgery for malignancies has not been evaluated properly in the literature. Therefore, this systematic review aims to provide a comprehensive overview of ML applications within upper gastrointestinal surgery for malignancies.

Methods

A systematic search was performed in PubMed, EMBASE, Cochrane, and Web of Science. Studies were only included when they described machine learning in upper gastrointestinal surgery for malignancies. The Cochrane risk-of-bias tool was used to determine the methodological quality of studies. The accuracy and area under the curve were evaluated, representing the predictive performance

SUBMITTER: Bektas M 

PROVIDER: S-EPMC9839827 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature