International Journal of Medicine and Data

This review explores the application of AI in coronary plaque detection and risk assessment, emphasizing the key role of AI technology in improving diagnostic accuracy and efficiency. There are certain challenges in the accuracy and efficiency of traditional imaging methods for identifying vulnerable plaques. In recent years, the intervention of artificial intelligence (AI) has brought new breakthroughs to this field. The application of AI in coronary artery plaque detection, especially in the post-processing technology of coronary CTA images, greatly improves the time efficiency and accuracy of diagnosis. By automatically segmenting images, it assists doctors in identifying high-risk plaques, making the risk screening of asymptomatic low-risk populations more accurate. AI can not only detect plaques but also conduct in-depth analysis of their components, effectively improving the accuracy of plaque recognition and evaluation. The application of AI in predicting coronary artery disease is particularly prominent, by constructing and validating risk prediction models to assess the risk of coronary heart disease patients. In actual clinical practice, successful cases have shown that AI technology can significantly shorten analysis time and improve diagnostic consistency. However, its application still has some limitations, such as being restricted by the size and quality of the dataset. In the field of coronary artery disease, the precision medicine application of AI has broad prospects, which can achieve personalized early detection, accurate analysis, and effective intervention. However, further optimization of datasets and algorithms is needed to achieve higher levels of prevention and treatment.

Coronary artery plaque; artificial intelligence; Deep learning; Image segmentation; Risk assessment model; Cardiovascular disease