A rapid review of machine learning approaches for telemedicine in the scope of COVID-19

作者：

Highlights：

• A systematic literature review of ML-based telemedicine models related to COVID-19

• The literature search identified 1.733 articles, from which 16 articles were included.

• We provide an updated taxonomy, identifying challenges and open questions.

• The discussion focuses on ML use to improve telemedicine in response to the COVID-19.

摘要

•A systematic literature review of ML-based telemedicine models related to COVID-19•The literature search identified 1.733 articles, from which 16 articles were included.•We provide an updated taxonomy, identifying challenges and open questions.•The discussion focuses on ML use to improve telemedicine in response to the COVID-19.

论文关键词：Telemedicine,Machine learning,COVID-19,Survey

论文评审过程：Received 9 March 2021, Revised 5 April 2022, Accepted 26 April 2022, Available online 30 April 2022, Version of Record 5 May 2022.

论文官网地址：https://doi.org/10.1016/j.artmed.2022.102312