Artificial Intelligence-Based Opportunities in Liver Pathology-A Systematic Review.

ABSTRACT:

Background

Artificial Intelligence (AI)-based Deep Neural Networks (DNNs) can handle a wide range of applications in image analysis, ranging from automated segmentation to diagnostic and prediction. As such, they have revolutionized healthcare, including in the liver pathology field.

Objective

The present study aims to provide a systematic review of applications and performances provided by DNN algorithms in liver pathology throughout the Pubmed and Embase databases up to December 2022, for tumoral, metabolic and inflammatory fields.

Results

42 articles were selected and fully reviewed. Each article was evaluated through the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool, highlighting their risks of bias.

Conclusions

DNN-based models are well

SUBMITTER: Allaume P 

PROVIDER: S-EPMC10217251 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature