Award
NIH Reporter #5R01HL150394-07
Toward efficient performance for deep learning on medical imaging
Recipient
University of California, San Francisco
Award Amount
$803,119.00
Ceiling
$803,119.00
Awarded
May 13, 2026
Identifier
5R01HL150394-07
This award supports the development and optimization of deep learning methods to improve diagnosis and clinical decision-making for congenital heart disease using large-scale fetal ultrasound imaging data.
Description
The goal of this renewal is to continue developing and optimizing novel deep learning (DL) and related methods to improve diagnosis and clinical decision-making for congenital heart disease (CHD). This includes a clinical translational evaluation of these methods in a population-wide imaging collection spanning tens of thousands of patients and several clinical centers.