A Bibliometric Analysis of Heart Disease Detection using Artificial Intelligence Techniques: Trends, Influential Works, and Research Gaps

Advanced diagnostic techniques are required as cardiovascular diseases continue to pose a serious threat to global health. The scientific community has recently shown a great deal of interest in the application of deep learning techniques to the detection of heart disease. In order to synthesize the body of research on the use of deep learning in the detection of heart disease, this study provides a thorough bibliometric analysis. A wide variety of publications, including articles, conference papers, and reviews, are included in the analysis. These were obtained from Scopus and WoS databases. Total 662 documents are analyzed from these databases. The study looks at geographic distributions, historical trends,…