Doctors are increasingly using artificial intelligence to get a clearer picture during heart screenings, leading to earlier and more accurate detection of cardiovascular diseases. This new technology helps identify subtle signs of heart problems that traditional methods might miss. For example, a Mayo Clinic study found an AI-assisted tool detected people at risk of left ventricular dysfunction with 93% accuracy. This compares favorably to mammograms, which are 85% accurate.[mayoclinic]
Enhanced CT Scans Offer Deeper Insight
AI-enabled heart CT scans are changing how doctors predict and prevent heart attacks. This advanced software analyzes CT images to precisely measure plaque inside heart arteries. It looks at how much plaque is present, what type it is, and where it is located, including calcified versus non-calcified plaques. This goes beyond simply identifying blockages.[baptisthealth+1]
Ricardo Cury, MD, medical director of cardiac imaging at Baptist Health Miami Cardiac & Vascular Institute, noted that traditional heart CT scans mainly look for narrowings and give a visual estimate of blockage severity. "The AI-enabled heart CT goes several steps further," Dr. Cury said. "Instead of just asking — 'Is there a blockage?' — this technology helps answer 'How healthy are your arteries today and what risk do they pose in the future?'". Socrates V. Kakoulides, MD, chief imaging officer at Baptist Health, added that AI gives doctors the ability to "see and analyze details that would have been missed by traditional scans, leading to much greater diagnostic accuracy".[baptisthealth+1]
The U.S. Food and Drug Administration (FDA) has cleared several AI tools for cardiac imaging. HeartLung Corporation's AI-CVD algorithm, for instance, can perform 11 different health screening assessments on chest CT exams, regardless of the original reason for the scan. This "opportunistic AI" reviews scans for incidental findings, alerting doctors to potential issues like coronary artery calcium, aortic valve calcium, and cardiac chamber sizes. Morteza Naghavi, MD, founder and president of HeartLung, stated that this clearance represents a "fundamental shift," turning CT into a "scalable, opportunistic prevention platform". This technology can be used on nearly 40 million CT scans performed each year in the United States.[baptisthealth+3]
Stony Brook Medicine is among the hospitals using AI technology like HeartFlow Plaque Analysis to understand blockages in coronary arteries more accurately. Hal A. Skopicki, MD, PhD, Co-Director of Stony Brook Heart Institute, said this "cutting-edge AI technology" raises the standard of care through "early and precise intervention".[cardiovascularbusiness+1]
AI Transforms ECG and Echocardiography
Artificial intelligence is also making significant advancements in electrocardiograms (ECGs) and echocardiograms (heart ultrasounds). Mayo Clinic researchers developed AI that can read a simple ECG test to detect heart conditions and predict future problems. This includes detecting a weak heart pump, which can lead to heart failure if not treated. AIdeveloped at Mayo Clinic is even used in Apple Watch to detect a weak heart pump. Yale School of Medicine researchers recently developed an AI tool that identifies individuals at high risk of developing heart failure using ECG images. This tool can predict future heart failure "well before they show overt symptoms," according to Lovedeep Singh Dhingra, MBBS, a postdoctoral fellow in Yale's Cardiovascular Data Science Lab.[mayoclinic+3]
Companies like Powerful Medical offer PMcardio, an FDA Breakthrough Device designated AI model that interprets ECGs and can detect over 40 cardiac conditions, including critical hidden heart attacks like ST-elevation myocardial infarction (STEMI) and STEMI equivalents. Clinicians use this tool for rapid, expert-level interpretations. Tempus also deploys FDA-cleared ECG-AI devices and algorithms to detect signs associated with cardiovascular conditions like atrial fibrillation. Research shows AI can predict cardiac arrest with high accuracy using ECG data, offering a breakthrough in early risk detection.[medicine+4]
In echocardiography, AI significantly improves image acquisition and analysis. AI algorithms assist sonographers in getting standard views, which reduces variability and ensures consistent image quality. Tools like Ultromics' EchoGo Core automate the echo process, saving up to 25% of study time and identifying "billions of physiologic features that can otherwise go unseen by the human eye". This allows for earlier and more accurate diagnoses. DESKi's HeartFocus, an FDA-cleared AI-enabled software, empowers any healthcare professional, even those with minimal training, to perform clinical-quality heart scans. Stéphane Lafitte, Professor of Cardiology at CHU de Bordeaux, called HeartFocus a "breakthrough that could reshape how we diagnose and treat heart disease".[emjreviews+4]
During emergency procedures, AI tools are even assessing heart function in real-time. Researchers from the Ottawa Heart Institute and Montreal Heart Institute successfully used a new AI tool called CathEF to quickly and accurately measure how well the heart is pumping during coronary angiography. Pascal Thériault-Lauzier, MD, a clinician-scientist at the Ottawa Heart Institute, stated that "With AI integrated into the catheterization lab, doctors can make faster, better-informed decisions, improving patient care in life-or-death situations".[businesswire+1]
Broader Impact and Future Outlook
The integration of AI in cardiology is leading to a new era of precision medicine. It helps reduce the need for invasive diagnostic tests, as AI-driven imaging can often provide sufficient detail. A systematic review found that AI improved workflow efficiency by 47%, reducing analysis time for cardiac imaging from 15 minutes to just 30 seconds. Thisefficiency allows doctors to spend more time with patients and improves shared decision-making.[baptisthealth+1]
Beyond diagnosis, AI is used for early risk prediction, personalized treatment plans, and chronic disease management. Wearable devices powered by AI can continuously monitor vital signs and detect irregularities, potentially preventing up to a third of heart failure repeat hospital admissions. Apollo Hospitals in India launched an AI tool to predict cardiovascular disease risk specifically for the Indian population, built on ten years of anonymized data from 400,000 individuals.[mayoclinic+3]
While AI offers immense potential, challenges remain. These include ensuring robust and diverse datasets for training AI models, addressing the "black box" nature of some algorithms to build clinician trust, and navigating regulatory approvals. Dataprivacy and the need for effective communication between AI systems and healthcare providers are also critical considerations. Despite these hurdles, AI is becoming an essential tool in cardiovascular imaging, promising to enhance diagnostic accuracy, efficiency, and patient care in the coming decades.[apollohospitals+5]
