Type
Funder
Country
—
Documents
6
through any edge
Papers
0
authorship edges
Awards made
5
1 grant numbers
Named as funder
6
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 Health Service Executive has funded
5 awards under 1 distinct grant numbers, across 5 documents. A further 6 documents name it as a funder without a grant number — a weaker claim, counted separately.
Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocolgrant 203930/B/16/Z · 2020-12-01Cybersecurity considerations for radiology departments involved with artificial intelligencegrant 203930/B/16/Z · 2023-07-07A survey of Paediatric Radiology Artificial Intelligencegrant 203930/B/16/Z · 2024-09-22Can ChatGPT4-vision identify radiologic progression of multiple sclerosis on brain MRI?grant 203930/B/16/Z · 2025-01-15How to apply evidence-based practice to the use of artificial intelligence in radiology (EBRAI) using the data algorithm training output (DATO) methodgrant 203930/B/16/Z · 2023-04-22
5 of 11 funding edges