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Stanford researchers have developed a personalized arrhythmia risk prediction tool for dilated cardiomyopathy (DCM) patients using patient-derived induced pluripotent stem cells (iPSCs) to replicate heart biology and accurately predict arrhythmia risk, enabling timely interven

Stanford researchers have developed AutoABI, a deep learning system that predicts ankle-brachial index (ABI) from Doppler ultrasound sounds.

Ultrasound technology is a safe, high-resolution, and cost-efficient tool for imaging. Other modalities, such as MRI or CT, may require the use of anesthesia. This makes it difficult to image pediatric patients and patients sensitive to anesthesia.