Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance.
Silvia RomitiMattia VinciguerraWael SaadeIñaki Anso CortajarenaErnesto GrecoPublished in: Cardiology research and practice (2020)
Cardiovascular disease (CVD), despite the significant advances in the diagnosis and treatments, still represents the leading cause of morbidity and mortality worldwide. In order to improve and optimize CVD outcomes, artificial intelligence techniques have the potential to radically change the way we practice cardiology, especially in imaging, offering us novel tools to interpret data and make clinical decisions. AI techniques such as machine learning and deep learning can also improve medical knowledge due to the increase of the volume and complexity of the data, unlocking clinically relevant information. Likewise, the use of emerging communication and information technologies is becoming pivotal to create a pervasive healthcare service through which elderly and chronic disease patients can receive medical care at their home, reducing hospitalizations and improving quality of life. The aim of this review is to describe the contemporary state of artificial intelligence and digital health applied to cardiovascular medicine as well as to provide physicians with their potential not only in cardiac imaging but most of all in clinical practice.
Keyphrases
- artificial intelligence
- healthcare
- big data
- machine learning
- deep learning
- cardiovascular disease
- health information
- end stage renal disease
- high resolution
- primary care
- clinical practice
- mental health
- ejection fraction
- electronic health record
- newly diagnosed
- convolutional neural network
- chronic kidney disease
- human health
- cardiac surgery
- public health
- peritoneal dialysis
- acute kidney injury
- left ventricular
- metabolic syndrome
- heart failure
- prognostic factors
- cardiovascular events
- middle aged
- patient reported outcomes
- risk assessment
- cardiovascular risk factors
- quality improvement
- skeletal muscle