The future of radiology: What if artificial intelligence is really as good as predicted?

Rowe, Steven P; Soyer, Philippe; Fishman, Elliot K

Rowe, Steven P; Soyer, Philippe; Fishman, Elliot K.

Rowe SP; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA. Electronic address: srowe8@jhmi.edu.
Soyer P; Department of Radiology, Hôpital Cochin, Assistance Publique-Hopitaux de Paris, 75014 Paris, France; Université Paris Centre, 75006, Paris, France.
Fishman EK; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.

Diagn Interv Imaging ; 103(9): 385-386, 2022 09.

Article in English | MEDLINE | ID: covidwho-2031237

Subject(s)

Artificial Intelligence; Radiology; Forecasting; Humans; Radiography

Keywords

Artificial intelligence; Radiology; Workflow

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Radiology / Artificial Intelligence Type of study: Prognostic study Limits: Humans Language: English Journal: Diagn Interv Imaging Year: 2022 Document Type: Article

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