Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review

作者：

Highlights：

• This SLR presents a full investigation of applied AI advances in automated image/video analyses of echocardiograms.

• The AI techniques/methods used, and their respective metrics and precisions for each article presented.

• The main datasets available in the literature for use in experimental analyses identified.

• State-of-the-art for the Camus Dataset presented.

• Challenges/limitations to the research problem identified.

摘要

•This SLR presents a full investigation of applied AI advances in automated image/video analyses of echocardiograms.•The AI techniques/methods used, and their respective metrics and precisions for each article presented.•The main datasets available in the literature for use in experimental analyses identified.•State-of-the-art for the Camus Dataset presented.•Challenges/limitations to the research problem identified.

论文关键词：Echocardiogram,Echocardiography,Machine Learning,Deep Learning

论文评审过程：Received 20 April 2021, Revised 7 August 2021, Accepted 31 August 2021, Available online 9 September 2021, Version of Record 21 September 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102165