The Reply - 15/01/20
Doi : 10.1016/j.amjmed.2019.10.012
Vida Abedi, PhD a, c, ⁎ 
, Ramin Zand, MD, MPH b, c, d
, Ramin Zand, MD, MPH b, c, d a Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, Pa
b Geisinger Neuroscience Institute, Geisinger Health System, Danville, Pa
c Biocomplexity Institute, Virginia Tech, Blacksburg, Va
d University of Tennessee Health Science Center, Memphis, Tenn
⁎Requests for reprints should be addressed to Vida Abedi, Geisinger Health System, Biomedical and Translational Informatics Institute Academy Ave, Danville, Pennsylvania 17822, United StatesGeisinger Health SystemBiomedical and Translational Informatics Institute Academy AveDanvillePennsylvania17822United States
Keywords : Machine learning, Artificial Intelligence, Healthcare, Medical Education, Technology
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| Funding: This work was supported by funds from the National Institute of Health (NIH) grant No. R56HL116832 to Sutter Health and sub-awarded to VA (Sub-PI, Geisinger) as well as funds from the Defense Threat Reduction Agency (DTRA) grant No. HDTRA1-18-1-0008 to Virginia Tech and sub-awarded to VA (Sub-PI, Geisinger, sub-award No. 450557-19D03). The funders had no role in study design, data collection, and interpretation, or the decision to submit the work for publication. |
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| Competing Interests: None. |
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| All authors had access to the data and a role in writing the manuscript. |
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Vol 133 - N° 2
P. e69 - février 2020 Retour au numéro
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