New AI Tool Identifies Risk of Future Heart Failure

Excited to share that our study, published in the European Heart Journal, was featured on the Yale School of Medicine page! Our new AI tool predicts heart failure risk from ECG images across diverse populations, enabling early intervention and improved patient outcomes.“Using an image or photograph of a 12-lead ECG as its input, our model was able to accurately stratify heart failure risk across diverse populations in the United States, United Kingdom, and Brazil,” Dhingra said. “We can now predict who is at risk of developing heart failure in the future, well before they show overt symptoms.” Read the full article at here.

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Evaluation of a Machine Learning-Guided Strategy for Elevated Lipoprotein(a) Screening in Health System

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CarDS Lab welcomes its newest member Dr. Dhruva Biswas