Key result
Artificial intelligence techniques in cardiovascular computed tomography offer broad application prospects for intelligent diagnosis, image interpretation, and prognostication of cardiovascular diseases.
Why the study?
Rapid development of artificial intelligence technologies has shown broad application prospects and innovation potential to improve cardiovascular disease management.
This review summarizes the current applications and future potential of artificial intelligence in cardiovascular computed tomography.
The rapid development of artificial intelligence (AI) technologies, like machine learning, deep learning, and other algorithms applied to the intelligent diagnostic and decision making, image interpretation, accurate classification, and prognostication of cardiovascular diseases, has led to broad application prospects and innovation potential. The digital and intelligent management model of cardiovascular disease is expected to improve the management level and efficiency of diseases and provide patients with more accurate, safe, and appropriate diagnosis and treatment methods. This review systematically introduces the common AI techniques in the field of cardiovascular computed tomography (CT), summarizes the current research and application progress of AI in cardiovascular CT, and provides its future perspectives.
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Xu et al. (2024) conducted a review in Cardiovascular disease. Artificial intelligence was evaluated. Artificial intelligence techniques in cardiovascular computed tomography offer broad application prospects for intelligent diagnosis, image interpretation, and prognostication of cardiovascular diseases.
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