In the compressed seconds of a cardiac emergency, a new tool developed at Indiana University School of Medicine offers something rare in modern medicine: an artificial intelligence that not only predicts danger but explains its reasoning. The system targets intramyocardial hemorrhage — internal bleeding that silently strikes four in ten severe heart attack patients after blood flow is restored — a complication that has long evaded early detection because its only reliable diagnostic test arrives days too late. By translating real-time catheterization lab data into a transparent six-point score
Explainable AI Scoring System Predicts Life-Threatening Bleeding After Heart Attacks
Intramyocardial hemorrhage affects approximately 40% of severe heart attack patients and significantly increases risk of heart failure and death.