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

🤖 Plain-English Summary

Advanced diagnostic techniques are required as cardiovascular diseases continue to pose a serious threat to global health. The study delves into co-authorship networks and institutional collaborations, offering valuable perspectives on the collaborative environment among scholars operating within this field.

🔑 Key Findings

• 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.

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