AI’s Decade-Ahead Heart Attack Prediction
Potential to Save Lives and Reduce Incidence
The study’s findings suggest a groundbreaking potential to prevent a substantial number of heart attacks—up to a fifth of cases, accompanied by an 8 percent reduction in deaths.
By delving into the data of over 40,000 patients undergoing routine cardiac CT scans, researchers unveiled the AI’s ability to spot risks that conventional methods might miss.
AI Tool and its Training
To achieve this predictive prowess, researchers developed a new AI tool, trained using information on changes in the fat around inflamed arteries.
This novel approach considers the significance of inflammation in assessing the risk of events like heart attacks.
Further testing on over 3,000 patients over several years confirmed the tool’s accuracy in predicting cardiac events.
Clinical Impact and Treatment Alterations
In a world-first pilot presented at the American Heart Association’s Scientific Sessions, the AI-generated risk scores were provided to clinicians for 744 patients. Astonishingly, clinicians altered treatment plans in up to 45 percent of cases based on these AI-generated risk scores.
Professor Charalambos Antoniades emphasizes the potential improvement in the treatment course for many heart patients.
Recognition of AI’s Role in Cardiovascular Health
Professor Sir Nilesh Samani, the medical director at the British Heart Foundation, acknowledges the valuable role AI-based technology can play in identifying individuals most at risk of future heart attacks.
The hope is that this transformative technology will be integrated into the NHS, potentially saving thousands of lives annually.
Broader Implications in Healthcare
The study’s revelation coincides with broader initiatives within the NHS to harness AI for preventive healthcare.
Pilot schemes, including tracking frail individuals’ habits and implementing predictive algorithms to prevent hospital visits, demonstrate a growing reliance on artificial intelligence to identify and address health risks proactively.
These initiatives aim to enhance patient care, reduce unnecessary hospital admissions, and optimize resource allocation.