Type
Funder
Country
—
Documents
58
through any edge
Papers
0
authorship edges
Awards made
30
6 grant numbers
Named as funder
58
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 Duke-NUS Medical School has funded
30 awards under 6 distinct grant numbers, across 13 documents. A further 58 documents name it as a funder without a grant number — a weaker claim, counted separately.
Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorialgrant 05/FY2020/EX/15-A58 · 2023-09-13Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorialgrant Duke-NUS/RSF/2021/0018 · 2023-09-13Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorialgrant NUS/RSF/2021/0018 · 2023-09-13Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklistgrant 05/FY2022/EX/66-A128 · 2024-09-17Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklistgrant Duke-NUS/RSF/2021/0018 · 2024-09-17Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklistgrant NUS/RSF/2021/0018 · 2024-09-172110.10277grant R-913-200-098-263Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional studygrant 05/FY2020/EX/15-A58 · 2023-08-06Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional studygrant Duke-NUS/RSF/2021/0018 · 2023-08-06Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional studygrant NUS/RSF/2021/0018 · 2023-08-06
10 of 88 funding edges