Artificial intelligence in predicting recurrence after first-line treatment of liver cancer: a systematic review and meta-analysis.

ABSTRACT:

Background

The aim of this study was to conduct a systematic review and meta-analysis to comprehensively evaluate the performance and methodological quality of artificial intelligence (AI) in predicting recurrence after single first-line treatment for liver cancer.

Methods

A rigorous and systematic evaluation was conducted on the AI studies related to recurrence after single first-line treatment for liver cancer, retrieved from the PubMed, Embase, Web of Science, Cochrane Library, and CNKI databases. The area under the curve (AUC), sensitivity (SENC), and specificity (SPEC) of each study were extracted for meta-analysis.

Results

Six percutaneous ablation (PA) studies, 16 surgical resection (SR) studies, and 5 transarterial chemoembolization (TACE) studies were include

SUBMITTER: Wu L 

PROVIDER: S-EPMC11457388 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature