Digital Health for Myocardial Infarction: Research Topics and Trends

Author:

Pelly Melissa1ORCID,Fatehi Farhad12ORCID,Samadbeik Mahnaz3ORCID,Liew Danny4ORCID,Verdejo-Garcia Antonio1ORCID

Affiliation:

1. School of Psychological Sciences, Monash University, Melbourne, Australia

2. Centre for Health Services Research, The University of Queensland, Brisbane, Australia

3. Social Determinants of Health Research Center, School of Allied Medical Sciences, Lorestan University of Medical Sciences, Khorramabad, Iran

4. School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia

Abstract

We aimed to map the topics and trends of research on digital health for myocardial infarction over the past ten years. This can inform future research directions and newly emerging topics for myocardial infarction care, diagnosis and monitoring. The Web of Science database was searched for papers related to digital health for myocardial infarction. 1,344 retrieved records were used for visualisation through bibliometrics and co-occurrence network analysis of keywords. Our mapping revealed several emerging topics in recent years, including artificial intelligence and deep learning. Higher emphasis on automated and artificially intelligent digital health systems in recent years can inform future clinical practice and research directions for myocardial infarction.

Publisher

IOS Press

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