Artificial Intelligence and Radiology: Collaboration Is Key

Journal of the American College of Radiology

Volumn 15, Issue 5, 2018, Pages 781-783

  Yi, Paul H ^a   Hui, Ferdinand K ^a   Ting, Daniel S W ^b,c  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTIFICIAL INTELLIGENCE; CLINICAL PRACTICE; DIABETIC RETINOPATHY; HEADACHE; HUMAN; LEARNING; MELANOMA; NOTE; NUCLEAR MAGNETIC RESONANCE IMAGING; OPTIMISM; PREDICTIVE VALUE; RADIODIAGNOSIS; RADIOLOGIST; RADIOLOGY; TUBERCULOSIS; X-RAY COMPUTED TOMOGRAPHY; COMPUTER ASSISTED DIAGNOSIS; DECISION SUPPORT SYSTEM; FORECASTING; PROCEDURES; RADIOLOGY INFORMATION SYSTEM; TRENDS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT TECHNIQUES; DEEP LEARNING; FORECASTING; HUMANS; OPTIMISM; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOLOGY INFORMATION SYSTEMS;

EID: 85041295061     PISSN: 15461440     EISSN: 1558349X     Source Type: Journal    
DOI: 10.1016/j.jacr.2017.12.037     Document Type: Note

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