# The Wilmer Institute Mentored Clinician Scientist Scholar Program-Supplement

> **NIH NIH K12** · JOHNS HOPKINS UNIVERSITY · 2021 · $86,390

## Abstract

PROJECT SUMMARY/ ABSTRACT
Artificial intelligence (AI), in the form of machine learning (ML) and deep learning (DL),
has revolutionized the field of medicine, especially in subspecialties with access to a
large number of images, such as ophthalmology. While promising, the application of
ML/AI in ophthalmology is limited by the lack of clear guidelines on how to extract
ophthalmic data, convert these data into a form that is usable for ML/AI model training
and ensure these data are adhering to the principles of FAIR (Findability, Accessibility,
Interoperability, and Reuse). Our proposal aims to address these limitations by
delineating the best practices for data curation via an online lecture series that will be
available free of charge to the public, once the curriculum is assessed and validated by
another academic institution (Harvard/Massachusetts Eye and Ear Infirmary).
If successful, the proposal will be impactful, as it will:
 1. Accelerate reproducible research in ML/AI by enabling the creation of
 standardized ML/AI-ready and FAIR datasets.
 2. Disseminate the best practices in data curation beyond Johns Hopkins University
 (JHU), as the online lectures will be made free of charge to the public.
 3. Foster the creation of standardized multi-institutional datasets that will improve
 both performance and generalizability of ML/AI algorithms in ophthalmology, by
 enabling federated learning approaches and external validation of models.

## Key facts

- **NIH application ID:** 10405937
- **Project number:** 3K12EY015025-15S1
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** Harry Alan Quigley
- **Activity code:** K12 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $86,390
- **Award type:** 3
- **Project period:** 2003-05-01 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10405937

## Citation

> US National Institutes of Health, RePORTER application 10405937, The Wilmer Institute Mentored Clinician Scientist Scholar Program-Supplement (3K12EY015025-15S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10405937. Licensed CC0.

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