Research Progress of Machine Learning and Deep Learning in Intelligent Diagnosis of the Coronary Atherosclerotic Heart Disease.
Haoxuan LuYudong YaoLi WangJianing YanShuangshuang TuYanqing XieWenming HePublished in: Computational and mathematical methods in medicine (2022)
The coronary atherosclerotic heart disease is a common cardiovascular disease with high morbidity, disability, and societal burden. Early, precise, and comprehensive diagnosis of the coronary atherosclerotic heart disease is of great significance. The rise of artificial intelligence technologies, represented by machine learning and deep learning, provides new methods to address the above issues. In recent years, artificial intelligence has achieved an extraordinary progress in multiple aspects of coronary atherosclerotic heart disease diagnosis, including the construction of intelligent diagnostic models based on artificial intelligence algorithms, applications of artificial intelligence algorithms in coronary angiography, coronary CT angiography, intravascular imaging, cardiac magnetic resonance, and functional parameters. This paper presents a comprehensive review of the technical background and current state of research on the application of artificial intelligence in the diagnosis of the coronary atherosclerotic heart disease and analyzes recent challenges and perspectives in this field.
Keyphrases
- artificial intelligence
- machine learning
- deep learning
- coronary artery
- big data
- coronary artery disease
- pulmonary hypertension
- magnetic resonance
- cardiovascular disease
- convolutional neural network
- aortic stenosis
- multiple sclerosis
- magnetic resonance imaging
- computed tomography
- metabolic syndrome
- mass spectrometry
- risk factors
- contrast enhanced
- cardiovascular risk factors