Artificial intelligence in cardiovascular medicine: An updated review of the literature.
Arian ZargarzadehElnaz JavanshirAlireza GhaffariErfan MosharkeshBabak AnariPublished in: Journal of cardiovascular and thoracic research (2023)
Screening and early detection of cardiovascular disease (CVD) are crucial for managing progress and preventing related morbidity. In recent years, several studies have reported the important role of Artificial intelligence (AI) technology and its integration into various medical sectors. AI applications are able to deal with the massive amounts of data (medical records, ultrasounds, medications, and experimental results) generated in medicine and identify novel details that would otherwise be forgotten in the mass of healthcare data sets. Nowadays, AI algorithms are currently used to improve diagnosis of some CVDs including heart failure, atrial fibrillation, hypertrophic cardiomyopathy and pulmonary hypertension. This review summarized some AI concepts, critical execution requirements, obstacles, and new applications for CVDs.
Keyphrases
- artificial intelligence
- big data
- machine learning
- healthcare
- hypertrophic cardiomyopathy
- deep learning
- heart failure
- atrial fibrillation
- cardiovascular disease
- pulmonary hypertension
- left ventricular
- electronic health record
- type diabetes
- catheter ablation
- left atrial
- pulmonary artery
- pulmonary arterial hypertension
- percutaneous coronary intervention
- left atrial appendage
- cardiovascular risk factors