Type
Funder
Country
—
Documents
39
through any edge
Papers
0
authorship edges
Awards made
21
10 grant numbers
Named as funder
39
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Research to Prevent Blindness has funded
21 awards under 10 distinct grant numbers, across 18 documents. A further 39 documents name it as a funder without a grant number — a weaker claim, counted separately.
Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19grant K23EY029246 · 2022-10-08A Clinician's Guide to Sharing Data for AI in Ophthalmologygrant R01AG060942 · 2024-06-12Automated Review of Patient Recordsgrant P30 026877 · 2026-06-01Comparison of Ophthalmologist and Large Language Model Chatbot Responses to Online Patient Eye Care Questionsgrant P30-EY026877 · 2023-08-22A Comparative Study of Large Language Models, Human Experts, and Expert-Edited Large Language Models to Neuro-Ophthalmology Questionsgrant P30 026877 · 2024-04-02Performance of ChatGPT on Responding to Common Online Questions Regarding Key Information Gaps in Glaucomagrant P30EY022589 · 2024-04-22Performance of ChatGPT on Responding to Common Online Questions Regarding Key Information Gaps in Glaucomagrant R01EY029058 · 2024-04-22Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Studygrant EY002162 · 2024-07-01Effects of prompt engineering on large language model performance in response to questions on common ophthalmic conditionsgrant P30EY022589 · 2024-07-01Effects of prompt engineering on large language model performance in response to questions on common ophthalmic conditionsgrant R01EY029058 · 2024-07-01
10 of 60 funding edges