
Show Notes
Regular exercise is one of the most effective methods to keep the heart healthy and efficient. In rare cases, however, there are reports of athletes collapsing mid-game due to cardiac arrest. And while exercise is generally also a key part of the rehabilitation process for those who’ve experienced cardiac events, caution should still be taken. This is where physician input is important, and where testing and regular monitoring can be implemented to reduce the risk of further events.
Today, we’re joined by experts in the fields of sports cardiology and exercise physiology, as well as an athlete with firsthand experience in the matter, to draw attention to the topic of cardiac health and how it pertains to sports medicine.
In this episode, host Myra Cocker, Assistant Professor of Cardiology at Houston Methodist Hospital and Global Director of Clinical Science for Cardiovascular Ultrasound at Siemens Healthineers, welcomes Dr. Jonathan Kim, Associate Professor and Founding Director at Emory University Sports Cardiology and Team Cardiologist for Georgia Tech, the Atlanta Falcons, Hawks, and Braves; as well as Dr. Dominique Hansen, Professor of Rehabilitation and Exercise Physiology in Cardiometabolic Diseases at Universiteit Hasselt in Belgium and Secretary of the European Association of Preventive Cardiology; and retired professional soccer player and cardiology patient Daniel Engelbrecht.
What you’ll learn in this episode: How cardiac risk can affect older and younger elite athletes differently Cardiac events can stem from myocarditis, caused by an infectious disease. Red flag symptoms when it comes to cardiac events while exercising, including intense chest pressure or loss of consciousness The use of Automated External Defibrillators is a critical first response strategy in the event of cardiac arrest. Implementation of an exercise program can be essential when treating a patient who has experienced, or is at risk for, cardiovascular disease. For patients who have suffered from major cardiac events, their timeline for return to sports or intense physical activity is heavily dependent on a number of individual factors.
Connect with Myra Cocker LinkedIn
Connect with Jonathan Kim LinkedIn
Connect with Dominique Hansen LinkedIn
Connect with Daniel Engelbrecht LinkedIn Hosted on Acast. See acast.com/privacy for more information.
More from Healthcare Perspectives
In this episode of Healthcare Perspectives, host Isabel Nieto Alvarez, PhD, an expert for patient experience at Siemens Healthineers, is joined by Maria Bernathova, MD, breast radiologist and generative AI specialist, and Caroline Justich, breast cancer patient advocate and founder of the patient support initiative Be Accepted. Together, they discuss how better communication — and the responsible use of AI — could help patients feel more informed, involved, and supported throughout their care.
Across the globe, chronic kidney disease, diabetes, cardiovascular disease, and obesity continue to place a growing burden on healthcare systems. Many of these conditions develop silently, often remaining undetected until significant damage has already occurred.
Healthcare systems around the world are under increasing pressure to reduce their environmental footprint without compromising access to care, quality, or patient safety. One often overlooked opportunity is the refurbishment of imaging systems. By giving imaging systems a second life, healthcare providers can help preserve resources while continuing to deliver clinical performance.
Across the globe, radiology departments are grappling with a paradox: imaging volumes are climbing while the trained workforce needed to operate scanners is shrinking. Using AI-driven tools, a drive towards fully-automated radiology promises faster diagnoses, greater diagnostic accuracy, and more efficient workflows, improving both the patient and clinician experience. It is rapidly transforming the way medical imaging is performed, analyzed, and integrated into imaging workflows.
Medical imaging is already an integral part of modern healthcare, but as hospitals face growing imaging demand and staffing challenges, new solutions using artificial intelligence have become an effective way to help ease the load.