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Cardiology

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Strengths and Opportunities of Network Medicine in Cardiovascular Diseases.

Circulation journal : official journal of the Japanese Circulation Society
Network medicine can advance current medical practice by arising as response to the limitations of a reductionist approach focusing on cardiovascular (CV) diseases as a direct consequence of a single defect. This molecular-bioinformatic approach inte...

An incremental learning system for atrial fibrillation detection based on transfer learning and active learning.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is a type of arrhythmia with high incidence. Automatic AF detection methods have been studied in previous works. However, a model cannot be used all the time without any improvement. And updating mod...

Applications of Artificial Intelligence in Cardiology. The Future is Already Here.

Revista espanola de cardiologia (English ed.)
There is currently no other hot topic like the ability of current technology to develop capabilities similar to those of human beings, even in medicine. This ability to simulate the processes of human intelligence with computer systems is known as ar...

Cath Lab Robotics: Paradigm Change in Interventional Cardiology?

Current cardiology reports
PURPOSE OF REVIEW: To review the contemporary evidence for robotic-assisted percutaneous coronary and vascular interventions, discussing its current capabilities, limitations, and potential future applications.

Deep Learning in Cardiology.

IEEE reviews in biomedical engineering
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep lear...

Machine Meets Biology: a Primer on Artificial Intelligence in Cardiology and Cardiac Imaging.

Current cardiology reports
PURPOSE OF REVIEW: An understanding of the basics concepts of deep learning can be helpful in not only understanding the potential applications of this technique but also in critically reviewing literature in which neural networks are utilized for an...