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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
The role of artificial intelligence in early detection and intervention of coronary artery disease
Fahad R Butt1, Michael W A Chu, Rashmi Nedadur
1London Health Sciences Center, London, Ontario, Canada; Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Purpose Of Review:
The diagnosis and management of coronary artery disease (CAD) involves complex delivery of care. Artificial intelligence (AI) proves to be a timely solution to challenges with diagnostics and timely and appropriate, quality of care.
Recent Findings:
Artificial intelligence has the capacity to improve care for patients with CAD at every step of the way including diagnosis, medical management, in the cath lab and operating room, and even at home. Integration of multiple data sources increases the utility of the individual data sources and can also improve the overall prediction accuracy compared to single dataset predictions. Applications in the cath lab and operating room involve augmented reality and rely on hardware improvements to deliver advanced analytics. User interphases have seen significant growth to operationalize the analytics and placing information in front of physicians and patients to improve accessibility.
Summary:
AI can revolutionize the way in which we deliver care to patients with CAD by improving access, enhancing diagnosis and treatment, and empowering patients to remain engaged in their health. Initiatives should be directed with a clinical goal in mind while respecting data privacy and protection procedures and accounting for the ethical responsibilities we have toward our patients and society.
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