Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review.

ABSTRACT:

Objectives

Machine learning (ML) for medical imaging is emerging for several organs and image modalities. Our objectives were to provide clinicians with an overview of this field by answering the following questions: (1) How is ML applied in liver computed tomography (CT) imaging? (2) How well do ML systems perform in liver CT imaging? (3) What are the clinical applications of ML in liver CT imaging?

Methods

A systematic review was carried out according to the guidelines from the PRISMA-P statement. The search string focused on studies containing content relating to artificial intelligence, liver, and computed tomography.

Results

One hundred ninety-one studies were included in the study. ML was applied to CT liver imaging by image analysis without clinicians' interven

SUBMITTER: Radiya K 

PROVIDER: S-EPMC10511359 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature