Ming-Xuan Tan
Papers
1
Total Citations
101
H-Index
1
About
Ming-Xuan Tan is a leading researcher at the intersection of artificial intelligence and cardiovascular medicine, with a primary focus on leveraging AI to improve the management of cerebrovascular and heart diseases. Their most influential work, "The Current Research Landscape of the Application of Artificial Intelligence in Managing Cerebrovascular and Heart Diseases: A Bibliometric and Content Analysis" (2019, 101 citations), provides a comprehensive mapping of how AI technologies—including machine learning and deep learning—are transforming clinical decision-making for stroke and cardiac conditions. This seminal study not only highlights the growing role of AI in diagnostics and treatment planning but also identifies key research trends and gaps, serving as a foundational resource for the field. Tan’s contributions have been instrumental in bridging computational methods with clinical practice, offering a roadmap for future innovations. With a citation count reflecting the high relevance and impact of their work, Tan is recognized for advancing the integration of AI into critical care pathways, making them a pivotal figure in the ongoing evolution of precision medicine for heart and brain health.
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Top Papers
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