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To determine the extent of funding for clinical research projects applying ML techniques by the National Institutes of Health (NIH) in 2017, we searched the NIH Research Portfolio Online Reporting Tools Expenditures and Results (RePORTER) system using relevant keywords. We identified 535 projects, which together received a total of $264 million, accounting for 2% of the NIH extramural budget for clinical research.<\/jats:p>","DOI":"10.1038\/s41746-020-0223-9","type":"journal-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T11:02:58Z","timestamp":1580468578000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["The National Institutes of Health funding for clinical research applying machine learning techniques in 2017"],"prefix":"10.1038","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9732-4903","authenticated-orcid":false,"given":"Amarnath R.","family":"Annapureddy","sequence":"first","affiliation":[]},{"given":"Suveen","family":"Angraal","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4557-9437","authenticated-orcid":false,"given":"Cesar","family":"Caraballo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3985-0056","authenticated-orcid":false,"given":"Alyssa","family":"Grimshaw","sequence":"additional","affiliation":[]},{"given":"Chenxi","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Bobak J.","family":"Mortazavi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2046-127X","authenticated-orcid":false,"given":"Harlan M.","family":"Krumholz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,1,31]]},"reference":[{"key":"223_CR1","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1038\/nature21056","volume":"542","author":"A Esteva","year":"2017","unstructured":"Esteva, A. et al. 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Martin Law Firm for work related to the Cook Celect IVC filter litigation, and from the Siegfried and Jensen Law Firm for work related to Vioxx litigation; chairs a Cardiac Scientific Advisory Board for UnitedHealth; was a participant\/participant representative of the IBM Watson Health Life Sciences Board; is a member of the Advisory Board for Element Science, the Advisory Board for Facebook, and the Physician Advisory Board for Aetna; and is the co-founder of HugoHealth, a personal health information platform, and co-founder of Refactor Health, an enterprise healthcare AI-augmented data management company. Bobak Mortazavi is supported in part by the Center for Remote Health Technologies and Systems and Texas A&M University, as well as awards 1R01EB028106-01 and 1R21EB028486-01 from the National Institute for Biomedical Imaging and Bioengineering (NIBIB) for work employing machine learning on health data; received a patent US10201746B1; a patent to US20180315507A1 is pending. The other authors have no relevant disclosures.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"13"}}