Tuesday, September 30, 2025 9/30/2025

Multimodal Artificial Intelligence to Predict Glaucomatous Progression and Surgical Intervention

Award Number: R01EY034146
ORGANIZATION: NATIONAL EYE INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/01/2022
PERIOD OF PERFORMANCE END DATE: 08/31/2026

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Multimodal Artificial Intelligence to Predict Glaucomatous Progression and Surgical Intervention - Project Summary The overall objective of this proposal, “Multimodal Artificial Intelligence to Predict Glaucomatous Progression and Surgical Intervention”, is to use multimodal artificial intelligence (AI) and deep learning strategies to predict which glaucoma patients will need glaucoma surgery and which are likely to have progressive visual field loss in the future. This study is designed to leverage longstanding well characterized clinical and research cohorts of glaucoma patients and its validated decision support AI infrastructure to predict which glaucoma patients will progress and which will need surgery. The proposal includes the following two Specific Aims. Aim 1 will use baseline electronic health records (EHR), optic nerve head (ONH) optical coherence tomography (OCT) imaging, visual field (VF) data, intraocular pressure (IOP) and central corneal thickness (CCT) in a multimodal DL model to predict the likelihood of surgical intervention for glaucoma. Aim 2 will use baseline EHR, ONH OCT imaging, VF data, IOP and CCT in a multimodal DL model to predict the likelihood of fast glaucomatous visual field progression. To address these aims, existing data from glaucoma patients 1) enrolled in the National Eye Institute funded Diagnostic Innovations in Glaucoma Study (DIGS 1995-present) and African Descent and Glaucoma Evaluation Study (ADAGES 2009-2021), and 2) managed at the UCSD Viterbi Family Department of Ophthalmology will be used in the AI model development and testing. We will also leverage UCSD's existing cloud-based AI pipeline to build a glaucoma-specific platform to train, test and in the future, update the deep learning models developed. In the future, this infrastructure can be used to support randomized clinical trial testing of AI guided glaucoma management and enable real-time decision support for clinicians.


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 = $447,542 )
2025	2025	UNIVERSITY OF CALIFORNIA, SAN DIEGO	9500 GILMAN DR	LA JOLLA	CA	92093	SAN DIEGO	USA	Trans-NIH Research Support	001	4	9/19/2025	SUPPLEMENT FOR EXPANSION	$103,363
2025	2025	UNIVERSITY OF CALIFORNIA, SAN DIEGO	9500 GILMAN DR	LA JOLLA	CA	92093	SAN DIEGO	USA	Vision Research	000	4	9/18/2025	NON-COMPETING CONTINUATION	$344,179
														Subtotal = $447,542

Issue Date FY: 2024 ( Subtotal = $508,279 )
2024	2024	UNIVERSITY OF CALIFORNIA, SAN DIEGO	9500 GILMAN DR	LA JOLLA	CA	92093	SAN DIEGO	USA	Vision Research	000	3	8/30/2024	NON-COMPETING CONTINUATION	$404,916
2024	2024	UNIVERSITY OF CALIFORNIA, SAN DIEGO	9500 GILMAN DR	LA JOLLA	CA	92093	SAN DIEGO	USA	Trans-NIH Research Support	001	3	9/10/2024	SUPPLEMENT FOR EXPANSION	$103,363
														Subtotal = $508,279

Issue Date FY: 2023 ( Subtotal = $410,446 )
2023	2023	UNIVERSITY OF CALIFORNIA, SAN DIEGO	9500 GILMAN DRIVE	LA JOLLA	CA	92093	SAN DIEGO	USA	Vision Research	000	2	8/18/2023	NON-COMPETING CONTINUATION	$410,446
														Subtotal = $410,446

Issue Date FY: 2022 ( Subtotal = $410,446 )
2022	2022	UNIVERSITY OF CALIFORNIA, SAN DIEGO	9500 GILMAN DR	LA JOLLA	CA	92093	SAN DIEGO	USA	Vision Research	000	1	8/5/2022	NEW	$410,446
														Subtotal = $410,446

Grand Total All Awards = $1,776,713

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Multimodal Artificial Intelligence to Predict Glaucomatous Progression and Surgical Intervention

Award Number: R01EY034146

ORGANIZATION: NATIONAL EYE INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 09/01/2022

PERIOD OF PERFORMANCE END DATE: 08/31/2026

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