Artificial intelligence applications in computed tomography in gastric cancer: a narrative review.

ABSTRACT:

Background and objective

Artificial intelligence (AI) is a revolutionary technique which is deeply impacting and reshaping clinical practice in oncology. This review aims to summarize the current status of the clinical application of AI-based computed tomography (CT) for gastric cancer (GC), focusing on diagnosis, genetic status detection and risk prediction of metastasis, prognosis and treatment efficacy. The challenges and prospects for future research will also be discussed.

Methods

We searched the PubMed/MEDLINE database to identify clinical studies published between 1990 and November 2022 that investigated AI applications in CT in GC. The major findings of the verified studies were summarized.

Key content and findings

AI applications in CT images have attracted c

SUBMITTER: Ma T 

PROVIDER: S-EPMC10583011 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature