Yuting Yang

Yuting Yang is a postdoctoral research fellow working with Timothy Miller and William La Cava. Yuting develops multimodal foundation models for cardiology medical records. Her current research focuses on multi-modal foundation models for cardiology medical records. Yuting is also affiliated with the Congenital Heart Artificial Intelligence Lab, collaborating with Joshua Mayourian to develop AI tools for pediatric and congenital heart care.

Yuting received a PhD from the University of Chinese Academy of Sciences, supervised by Jintao Li and Juan Cao. Her doctoral research focused on robust AI, with additional experience in dialogue systems from a research visit at the National University of Singapore with Tat-Seng Chua.

Recent Papers

Deep Time-to-Event Models for Intrapartum Fetal Monitoring

Guilherme Seidyo Imai Aldeia, Helena Coggan, Yuting Yang, Lisa Levine, Jennifer A. McCoy, William La Cava (2026)

Preprint

medrxiv.org  |  pdf  |  code

Robust AI-ECG for Predicting Left Ventricular Systolic Dysfunction in Pediatric Congenital Heart Disease

Yuting Yang, Lorenzo Peracchio, Joshua Mayourian, John K. Triedman, Timothy Miller, William G. La Cava (2026)

AMIA Summits on Translational Science Proceedings

pmc.ncbi.nlm.nih.gov  |  PubMed  |  pdf