Resident Physician, Department of Obstetrics, Gynecology, and Reproductive Science
Icahn School of Medicine at Mount Sinai
Tess E.K. Cersonsky, MD, is a current resident at the Icahn School of Medicine at Mount Sinai in the Department of Obstetrics, Gynecology, and Reproductive Science. She has a strong interest in machine learning and maternal fetal medicine and intends to pursue fellowship in MFM.
Independent research interests include the use of machine learning to predict and prevent adverse pregnancy outcomes, including stillbirth and placenta accreta spectrum. High impact work includes the development of a machine learning model for predicting stillbirth using data collected prior to viability with 85% accuracy. Other areas of interest include assessment of psychological outcomes following pregnancy and adverse pregnancy events, as well as understanding the pathology of stillbirth and placental dysfunction. Current and future research interests include validation of prior algorithms using novel data approaches, implementation of algorithms within electronic health record, and development of novel models for other adverse pregnancy outcomes.
