Artificial intelligence for the general cardiologist

• Published in: Netherlands heart journal Vol. 27; no. 9; pp. 389 - 391
• Main Authors: Verjans, J., Leiner, T.
• Format: Journal Article
• Language: English
• Published: Houten Bohn Stafleu van Loghum 01-09-2019; Springer Nature B.V
• Subjects: Artificial intelligence; Automation; Cardiac arrhythmia; Cardiology; Cardiovascular disease; Clinical medicine; Consortia; Coronary vessels; Deep learning; Editor's Comment; Electrocardiography; Heart; Machine learning; Medical Education; Medical imaging; Medicine; Medicine & Public Health; Patients; Netherlands
• ISSN: 1568-5888; 1876-6250
• DOI: 10.1007/s12471-019-01327-7

[...]it is anticipated that AI will help with repetitive tasks, in-depth quantification and classification of findings, improved patient and disease phenotyping and, ultimately, with better outcomes for patients, physicians, hospital administrators, insurance companies and governments [2]. [...]this could change in the coming years, as illustrated by the significant increase in papers in AI, machine learning and deep learning in cardiology (Fig. 1). [...]multiple applications have gained Federal Drug Administration approval in recent years with significant financial support; these are directly related to daily cardiology practice, including automated interpretation of electrocardiograms, automated segmentation and diagnosis (Tab. 1). According to scientists from every decade since the 1960s, human-like AI should have been achieved within 10–20 years.