Machine Learning in Cardiovascular Imaging: A Scoping Review of Published Literature.

ABSTRACT:

Purpose of review

In this study, we planned and carried out a scoping review of the literature to learn how machine learning (ML) has been investigated in cardiovascular imaging (CVI).

Recent findings

During our search, we found numerous studies that developed or utilized existing ML models for segmentation, classification, object detection, generation, and regression applications involving cardiovascular imaging data. We first quantitatively investigated the different aspects of study characteristics, data handling, model development, and performance evaluation in all studies that were included in our review. We then supplemented these findings with a qualitative synthesis to highlight the common themes in the studied literature and provided recommendations to pave the way

SUBMITTER: Rouzrokh P 

PROVIDER: S-EPMC9742664 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature