Study Shows AI Approach Superior in Identifying Heart Attack Risk

1. Study Shows AI Approach
Superior in Identifying Heart
Attack Risk
By: Sanjiv Narayan

2. Study Shows AI Approach Superior in Identifying
Heart Attack Risk
A cardiologist who has taught at UC San Diego and UCLA, Dr. Sanjiv M. Narayan leads
electrophysiology research at Stanford University and is a pioneer in the area of safe, effective
atrial fibrillation treatment. With a strong focus on technology, Dr. Sanjiv M. Narayan has a
longstanding interest in the use of artificial intelligence (AI) and machine learning in driving
improved medical care results.

3. Study Shows AI Approach Superior in Identifying
Heart Attack Risk
A recent Forbes article highlighted the potential of AI to expeditiously identify whether someone is
having a heart attack. Undertaken by a healthcare company, the study spanned 11,000 patients in
countries from Germany to New Zealand, and found that AI was able to generate a more
comprehensive analysis when it came to probability that a heart attack was occurring.

4. Study Shows AI Approach Superior in Identifying
Heart Attack Risk
A key barrier with traditional methods is that physicians rely on highly sensitive troponin tests that
do not input age, sex, and other personal factors that can impact heart attack likelihood. In
addition, they do not always measure the patient’s specific levels of troponin, a critical cardiac
biomarker.

5. Study Shows AI Approach Superior in Identifying
Heart Attack Risk
This “one-size-fits-all” approach is surpassed by the AI methodology, which employs an algorithm
able to understand how patient-specific variables interact at a specific moment in time and
generate a precise calculation of heart attack risk.