AMERICAN COLLEGE OF CARDIOLOGY -- The future of cardiovascular care will be transformed by advances in artificial intelligence, digital health technology, and mobile as a means to prevent and treat heart disease, according to several review articles published today in a Journal of the American College of Cardiology Focus Seminar on the Future Technology of Cardiovascular Care.

"Artificial Intelligence in Cardiology"

As the type and breadth of data available to cardiologists and the cardiovascular care team continues to grow more sophisticated, physicians are increasingly being asked to provide more rapid and personalized interpretations of data to their patients. One solution to providing this level of personalized medicine efficiently is artificial intelligence, also known as machine learning.
In this review, researchers analyze select applications of artificial intelligence in cardiology and identify how the specialty could incorporate more artificial intelligence in the future to enhance the capabilities and experiences of clinicians and patients.

"[Artificial intelligence] has clear potential to enhance every stage of patient care--from research and discovery, to diagnosis, to selection of therapy," said Joel Dudley, PhD, senior author of the review and director of the Next Generation Healthcare Institute at Mount Sinai. "A key next step to incorporating artificial intelligence into cardiology is to align available data and technologies with clinical and business use. This way, we can prioritize short-term opportunities and understand gaps in available data or algorithms that are holding back applications of artificial intelligence in areas of high clinical need."

According to the review, artificial intelligence is currently only performed by those with specialized training, but in the future, these methods will be increasingly easy and widely available. It may eventually be incorporated into day-to-day practice by interacting with electronic health records and billing.

"Using Digital Health Technology to Better Generate Evidence and Deliver Evidence-based Care"

Digital health is the use of digital information, data and communication technologies to collect, share and analyze health information to improve patient health and health care delivery. It can broadly include electronic medical records and artificial intelligence applied to large datasets. These technologies have the potential to accelerate, streamline and optimize clinical research operations and reduce costs, but their use comes with concerns about data quality, patient safety and privacy, which contributes to the delay in their use.

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