Award
National Institute of General Medical Sciences 5R01GM110240-09
Explainable, Fair, Reproducible and Collaborative Surgical Artificial Intelligence: Integrating data, algorithms and clinical reasoning for surgical risk assessment (XAI-IDEALIST)
Recipient
University of Florida
Award Amount
$513,428.00
Ceiling
$513,428.00
Awarded
June 10, 2025
Identifier
5R01GM110240-09
NIH grant awarded to University of Florida for developing explainable and collaborative AI for surgical risk assessment to improve patient outcomes and reduce healthcare costs.
Description
The project focuses on developing explainable, fair, reproducible, and collaborative AI for surgical risk assessment, leveraging large multicenter datasets and federated learning. The project aims to improve patient outcomes and reduce healthcare costs through advanced computational methods and AI explainability platforms.