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As the Use of AI In Healthcare Grows, Cardio Diagnostic Is Using It In Quest to Help Prevent Cardiovascular Disease
--News Direct--By Faith Ashmore, BenzingaIn the United States, one person dies from cardiovascular disease every 33 seconds, and nearly one in every four
About this update from Cardio Diagnostics Holdings Inc.
[{"type":"text","content":"--News Direct--By Faith Ashmore, BenzingaIn the United States, one person dies from cardiovascular disease every 33 seconds, and nearly one in every four deaths is attributed to heart disease. It is the leading cause of death for men, women and people of most racial and ethnic groups across the board. In 2021, cardiovascular disease cost the U.S. approximately $219 billion and those numbers are only expected to go up if nothing changes. Fortunately, many of the deaths associated with heart disease are preventable if health professionals are able to leverage modern technology to educate and treat effectively. The Global Burden of Disease (GBD) study and the Global Burden of Cardiovascular Diseases Collaboration have provided valuable perspectives on the urgency of developing comprehensive strategies to address these risks and enhance public health. According to Gregory A. Roth, MD, MPH, the senior author of the paper, associate professor in the Division of Cardiology, and director of the Program in Cardiovascular Health Metrics at the Institute for Health Metrics and Evaluation at the University of Washington, \"Cardiovascular diseases continue to pose a persistent challenge, resulting in a significant number of premature and preventable deaths.\" Combining advanced clinical diagnostic solutions with digital health, Artificial Intelligence (AI) and value-based care initiatives can accelerate how organizations tackle cardiovascular disease. How AI Can Be Instrumental In The Fight Against Heart DiseaseIn 2023, the market for AI in healthcare was forecasted to reach $20.65 billion, and it is predicted to reach $187.95 billion by 2030. This is not surprising to most because the implementation of AI in healthcare has brought about a transformative shift in the industry, enabling a personalized approach to patient care. AI algorithms can effectively handle and analyze extensive medical data, including epigenetic, genetic information and DNA-based biomarkers. Healthcare providers now have the capability to make precise and personalized treatment choices, taking into account an individual's specific biology, which ultimately enhances patient outcomes. By utilizing AI-powered systems, patterns can be identified, potential health issues can be predicted, and real-time monitoring can be conducted, facilitating early intervention and prevent...