10 citations · 10 across the 4 of their papers we have counts for
4 papers
Detecting low left ventricular ejection fraction from ECG using an interpretable and scalable predictor-driven framework
Ya Zhou, Tianxiang Hao, Ziyi Cai +5
Low left ventricular ejection fraction (LEF) frequently remains undetected until progression to symptomatic heart failure, underscoring the need for scalable screening strategies.…
Detecting Structural Heart Disease from Electrocardiograms via a Generalized Additive Model of Interpretable Foundation-Model Predictors
Ya Zhou, Zhaohong Sun, Tianxiang Hao +1
Structural heart disease (SHD) is a prevalent condition with many undiagnosed cases, and early detection is often limited by the high cost and accessibility constraints of echocard…
Health Guardian: Using Multi-modal Data to Understand Individual Health
Vince S. Siu, Kuan Yu Hsieh, Italo Buleje +7
Artificial intelligence (AI) has shown great promise in revolutionizing the field of digital health by improving disease diagnosis, treatment, and prevention. This paper describes…
Towards Automated and Marker-less Parkinson Disease Assessment: Predicting UPDRS Scores using Sit-stand videos
Deval Mehta, Umar Asif, Tian Hao +4
This paper presents a novel deep learning enabled, video based analysis framework for assessing the Unified Parkinsons Disease Rating Scale (UPDRS) that can be used in the clinic o…