AI Medical Compendium Journal:
Journal of cardiology

Showing 1 to 5 of 5 articles

Validation of artificial intelligence-based application to estimate nutrients in daily meals.

Journal of cardiology
BACKGROUND: Diet modification is a mainstay for the successful management of metabolic syndrome and potentially may reduce the risk of cardiovascular disease. Accurate estimation of essential nutrients in daily meals is currently challenging to quant...

Machine learning in cardiology: Clinical application and basic research.

Journal of cardiology
Machine learning is a subfield of artificial intelligence. The quality and versatility of machine learning have been rapidly improving and playing a critical role in many aspects of social life. This trend is also observed in the medical field. Gener...

Artificial intelligence and cardiology: Current status and perspective.

Journal of cardiology
The development of artificial intelligence (AI) began in the mid-20th century but has been rapidly accelerating in the past decade. Reflecting the development of digital health over the past few years, this trend is also seen in medicine. The field o...

Prospects for cardiovascular medicine using artificial intelligence.

Journal of cardiology
As the importance of artificial intelligence (AI) in the clinical setting increases, the need for clinicians to understand AI is also increasing. This review focuses on the fundamental principles of AI and the current state of cardiovascular AI. Vari...

Deep learning model to detect significant aortic regurgitation using electrocardiography.

Journal of cardiology
BACKGROUND: Aortic regurgitation (AR) is a common heart disease, with a relatively high prevalence of 4.9% in the Framingham Heart Study. Because the prevalence increases with advancing age, an upward shift in the age distribution may increase the bu...