New AI Tool Detects Hard-to-Spot Heart Attacks in EKG Readings

A newly approved artificial intelligence tool can analyze electrocardiograms (EKGs) to identify severe heart attacks and detect rare patterns that indicate blocked arteries, potentially improving early diagnosis. The technology aims to catch cardiac events that are often missed by standard EKG interpretation, particularly those with atypical presentations. This advancement could be critical for patients in emergency settings where rapid and accurate diagnosis directly impacts treatment decisions and outcomes. By leveraging machine learning algorithms, the AI tool enhances clinicians' ability to recognize subtle EKG abnormalities associated with acute coronary syndrome. For Puerto Rico patients, this represents an important step toward more sophisticated cardiac care and better survival rates from heart attacks.