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Volumn 320, Issue 11, 2018, Pages 1107-1108

Clinical implications and challenges of artificial intelligence and deep learning

Author keywords

[No Author keywords available]

Indexed keywords

ACCESS TO INFORMATION; ALGORITHM; ARTIFICIAL INTELLIGENCE; CLINICAL PRACTICE; DEEP LEARNING; EDITORIAL; HEALTH CARE DELIVERY; HEALTH CARE SYSTEM; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; INFORMATION PROCESSING; MACHINE LEARNING; MEDICAL INFORMATION SYSTEM; PATIENT CARE; PRACTICE GUIDELINE; PRIORITY JOURNAL;

EID: 85053003464     PISSN: 00987484     EISSN: 15383598     Source Type: Journal    
DOI: 10.1001/jama.2018.11029     Document Type: Editorial
Times cited : (184)

References (10)
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    • JAMA
    • Hinton, G.1
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    • On the prospects for a (deep) learning health care system [published online August 30, 2018]
    • Naylor CD. On the prospects for a (deep) learning health care system [published online August 30, 2018]. JAMA. Doi:10.1001/jama.2018.11103
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    • (1971) Am Psychol , vol.26 , Issue.2 , pp. 145-159
    • Simon, H.A.1    Newel, A.2
  • 7
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    • (2018) JAMA , vol.319 , Issue.1 , pp. 19-20
    • Verghese, A.1    Shah, N.H.2    Harrington, R.A.3
  • 8
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    • Big data and predictive analytics: Recalibrating expectations
    • Shah ND, Steyerberg EW, Kent DM. Big data and predictive analytics: recalibrating expectations. JAMA. 2018;320(1):27-28. Doi:10.1001/jama.2018.5602
    • (2018) JAMA , vol.320 , Issue.1 , pp. 27-28
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  • 9
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    • Observational cohort studies and the challenges of in silico experiments
    • Walsh CG, Johnson KB. Observational cohort studies and the challenges of in silico experiments. JAMA Oncol. 2017;3(1):55-57. Doi:10.1001/jamaoncol .2016.3478
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    • Self, J.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.