Fostering a Healthy AI Ecosystem for Radiology: Conclusions of the 2018 RSNA Summit on AI in Radiology.

Autor:	Chokshi FH; Departments of Radiology and Imaging Sciences and Biomedical Informatics, Emory University School of Medicine, 1364 Clifton Rd NE, Atlanta, GA 30322 (F.H.C.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (A.E.F.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); and Departments of Radiology and Biomedical Informatics, Stanford University School of Medicine, Stanford, Calif (C.P.L.)., Flanders AE; Departments of Radiology and Imaging Sciences and Biomedical Informatics, Emory University School of Medicine, 1364 Clifton Rd NE, Atlanta, GA 30322 (F.H.C.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (A.E.F.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); and Departments of Radiology and Biomedical Informatics, Stanford University School of Medicine, Stanford, Calif (C.P.L.)., Prevedello LM; Departments of Radiology and Imaging Sciences and Biomedical Informatics, Emory University School of Medicine, 1364 Clifton Rd NE, Atlanta, GA 30322 (F.H.C.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (A.E.F.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); and Departments of Radiology and Biomedical Informatics, Stanford University School of Medicine, Stanford, Calif (C.P.L.)., Langlotz CP; Departments of Radiology and Imaging Sciences and Biomedical Informatics, Emory University School of Medicine, 1364 Clifton Rd NE, Atlanta, GA 30322 (F.H.C.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (A.E.F.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); and Departments of Radiology and Biomedical Informatics, Stanford University School of Medicine, Stanford, Calif (C.P.L.).
Jazyk:	angličtina
Zdroj:	Radiology. Artificial intelligence [Radiol Artif Intell] 2019 Mar 27; Vol. 1 (2), pp. 190021. Date of Electronic Publication: 2019 Mar 27 (Print Publication: 2019).
DOI:	10.1148/ryai.2019190021
Abstrakt:	The 2018 RSNA Summit on AI in Radiology brought together a diverse group of stakeholders to identify and prioritize areas of need related to artificial intelligence in radiology. This article presents the proceedings of the summit with emphasis on RSNA's role in leading, organizing, and catalyzing change during this important time in radiology. © RSNA, 2019. Competing Interests: Disclosures of Conflicts of Interest: F.H.C. disclosed no relevant relationships. A.E.F. disclosed no relevant relationships. L.M.P. disclosed no relevant relationships. C.P.L. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: consultant for whiterabbit.ai (retainer paid for service on medical advisory board); received stock options for service on medical advisory boards from Nines.ai, whiterabbit.ai, Bunker Hill, and Galileo CDS. Other relationships: disclosed no relevant relationships. (2019 by the Radiological Society of North America, Inc.)
Databáze:	MEDLINE
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