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SCH: Advancing Clinical Decision Support for Glaucoma Detection and Progression Using Multi-Modal AI

Award Number: R01EY037101
ORGANIZATION: NATIONAL EYE INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/01/2024
PERIOD OF PERFORMANCE END DATE: 08/31/2028

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SCH: Advancing Clinical Decision Support for Glaucoma Detection and Progression Using Multi-Modal AI - Modified Project Summary/Abstract Section This project addresses the growing clinical and public health burden of glaucoma-related vision loss. Glaucoma is a complex, progressive disease that often goes undetected until substantial vision impairment has occurred. Current diagnostic approaches are limited by the complexity of the disease, the variability in patient presentation, and the fragmented nature of healthcare data. This research aims to develop a clinical decision support tool leveraging artificial intelligence (AI) to enhance diagnostic precision and facilitate earlier and more accurate intervention. Three core challenges will be addressed. First, the development of a multi-modal AI framework capable of integrating diverse data types, such as structural retinal imaging and visual field measurements, collected longitudinally across patient visits. This integration is expected to improve the accuracy and reliability of glaucoma detection and functional loss prediction. Second, the research will optimize the interface between clinicians and the AI-based tool to support informed clinical decision-making. Model interpretability and performance transparency will be emphasized to ensure safe use in a range of clinical scenarios. The incorporation of advanced uncertainty estimation methods will provide insights into prediction confidence and support appropriate usage. Third, the study will evaluate model performance across diverse data distributions to ensure consistency and generalizability in clinical applications. By systematically analyzing the impact of data heterogeneity, the project will inform model development strategies that improve clinical utility across populations and care settings.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $253,868 )
2025	2025	TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE	3451 WALNUT ST STE 440A	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Vision Research	000	2	9/19/2025	NON-COMPETING CONTINUATION	$253,868
														Subtotal = $253,868

Issue Date FY: 2024 ( Subtotal = $300,001 )
2024	2024	TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE	3451 WALNUT ST STE 440A	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Vision Research	000	1	8/2/2024	NEW	$300,001
2024	2024	TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE	3451 WALNUT ST STE 440A	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Vision Research	001	1	9/23/2024	NEW	$0
														Subtotal = $300,001

Grand Total All Awards = $553,869

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SCH: Advancing Clinical Decision Support for Glaucoma Detection and Progression Using Multi-Modal AI

Award Number: R01EY037101

ORGANIZATION: NATIONAL EYE INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/01/2024

PERIOD OF PERFORMANCE END DATE: 08/31/2028

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