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March 3, 2026
Mapping knowledge landscapes and emerging trends in AI for coronary artery disease imaging biomarkers: A bibliometric and visualization analysis
ML
Min Li
SS
Shuang Sun
Chinese Academy of Medical Sciences & Peking Union Medical College
ML
Min Liu
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Key Points
Coronary artery disease imaging biomarkers significantly rely on advances in AI technologies and methodologies.
Recent findings show a marked increase in relevant publications and collaborations in this field over the last decade.
Bibliometric analysis conducted across numerous databases highlights prevailing trends and influential studies in coronary artery disease imaging.
Understanding these trends supports future research directions and the adoption of AI-enhanced imaging techniques.
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Cite This Study
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Li et al. (Tue,) studied this question.
synapsesocial.com/papers/69a7618ec6e9836116a2f95b
https://doi.org/https://doi.org/10.1016/j.cpcardiol.2026.103302
Mapping knowledge landscapes and emerging trends in AI for coronary artery disease imaging biomarkers: A bibliometric and visualization analysis | Synapse