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Artificial Intelligence Analysis of Myopic Vitreoretinal Pathology

Award Number: K23EY035741
ORGANIZATION: NATIONAL EYE INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: TRAINING/TRAINEESHIP
PERIOD OF PERFORMANCE START DATE: 03/01/2024
PERIOD OF PERFORMANCE END DATE: 02/28/2029

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Artificial Intelligence Analysis of Myopic Vitreoretinal Pathology - PROJECT SUMMARY: This application seeks a career development award for an academic vitreoretinal surgeon with an interest in high myopia, a condition which predisposes patients to potentially blinding complications including retinal tears (RTs) and rhegmatogenous retinal detachments (RRDs). This proposal is a 5-year curriculum and research plan to transition Dr. Cassie Ludwig to independence. The candidate is an accomplished early career physician-scientist who will undergo all training and execute the research noted herein during this period. Myopia affects one third of the world's population today and has been predicted to affect 50% of the world's population by 2050.1,2 Worse, this prediction is likely an underestimate as myopigenic behaviors have been further compounded by the COVID pandemic and digital remote learning.3–8 This increasing prevalence has significant consequences as each diopter of myopia increases the risk of retinal tears and detachments, myopic macular degeneration, choroidal neovascularization, myopic traction maculopathy, strabismus, glaucoma, and cataracts. Slowing myopia progression even minimally can help prevent blindness. Using combined data from five large population-based studies, Bullimore et al. found that slowing myopia by one diopter should reduce the likelihood of a patient developing an RRD by 30%.2 Electronic health records (EHRs) and ophthalmic imaging databases contain enormous quantities of systemic and ocular data generated by clinical practice which can be used to better understand the relationship between systemic and ophthalmic risk factors, myopia and RTs and RRDs. EHR and imaging data can be fused into predictive models that employ machine learning to risk-stratify patients. In this proposal, Dr. Ludwig aims to achieve the following: 1. Develop and validate a structured EHR deep learning framework to predict RT and RRD risk in myopes and non-myopes 2. Develop and validate an unstructured EHR transformer-based deep learning model to predict RT and RRD risk in myopes and non-myopes, and 3. Develop and validate an ultra-widefield photography convolutional neural network (CNN)-based deep learning model to predict RT and RRD risk in myopes and non-myopes. The central hypothesis is that modeling of attributes from EHR data and images can predict risk of RTs and RRDs. The principal investigator, Cassie A. Ludwig, MD, MS, will perform this research as part of a larger effort to obtain additional training and mentorship in biomedical informatics, artificial intelligence, biodesign, and myopia. Dr. Ludwig’s career development plan includes a PhD program with didactic coursework, conferences, workshops, and frequent communication and interaction with a network of mentors with an impressive abundance of their own NIH funding and prior mentorship experiences. This experience will guide Dr. Ludwig into a career as an independent clinician-scientist with expertise in artificial intelligence and a focus on myopia and its sequelae.


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: 2026 ( Subtotal = $274,148 )
2026	2026	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Vision Research	000	3	4/2/2026	NON-COMPETING CONTINUATION	$274,148
														Subtotal = $274,148

Issue Date FY: 2025 ( Subtotal = $274,148 )
2025	2025	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Vision Research	001	2	4/21/2025	NON-COMPETING CONTINUATION	$274,148
2025	2024	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Vision Research	000	1	1/14/2025	NEW	$0
														Subtotal = $274,148

Issue Date FY: 2024 ( Subtotal = $274,148 )
2024	2024	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Vision Research	000	1	2/8/2024	NEW	$274,148
														Subtotal = $274,148

Grand Total All Awards = $822,444

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Artificial Intelligence Analysis of Myopic Vitreoretinal Pathology

Award Number: K23EY035741

ORGANIZATION: NATIONAL EYE INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: TRAINING/TRAINEESHIP

PERIOD OF PERFORMANCE START DATE: 03/01/2024

PERIOD OF PERFORMANCE END DATE: 02/28/2029

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