This Project Grant award from the National Eye Institute (NEI), under the Vision Research federal grant program (CFDA 93.867), provides $869,528 to the Regents of the University of Michigan to develop an Automated Quantitative Ulcer Analysis (AQUA) algorithm and decision tool to rapidly identify the causative organism types in Microbial Keratitis (MK), a leading cause of worldwide blindness.
The key deliverables include: (1) generating knowledge about MK organism identification, (2) creating the AQUA machine-learning algorithm to classify organism types, and (3) developing an AQUA-based point-of-care decision tool to aid clinicians in MK diagnosis and treatment. The project aims to create a low-cost, practical solution to improve clinical decision-making and patient outcomes for this complex, visually-impactful disease. Under this award, the University of Michigan will collaborate with Duke University to lead the automated image analysis algorithm development.
Generated 3/4/25, 7:01 AM