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 study delves into co-authorship networks and institutional collaborations, offering valuable perspectives on the collaborative environment among scholars operating within this field.

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• 1 The scientific community has recently shown a great deal of interest in the application of deep learning techniques to the detection of heart disease.
• 2 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.
• 3 A wide variety of publications, including articles, conference papers, and reviews, are included in the analysis.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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