Artificial Intelligence with Statistical Confidence Scores for Detection of Acute or Subacute Hemorrhage on Noncontrast CT Head Scans.
第一作者:
Eli,Gibson
第一单位:
Department of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).
作者:
DOI
10.1148/ryai.210115
PMID
35652116
发布时间
2023-06-01
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Radiology. Artificial intelligence
2022年4卷3期
e210115页
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