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Volumn 33, Issue 8, 2018, Pages 2358-2361

Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?

Author keywords

artificial intelligence; cognitive computing; deep learning; digital health; digital orthopedics; machine learning

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; HUMAN; HUMAN EXPERIMENT; MACHINE LEARNING; ORTHOPEDICS; SURGEON; ALGORITHM; ARTIFICIAL NEURAL NETWORK; PHYSICIAN; TRENDS;

EID: 85045344385     PISSN: 08835403     EISSN: 15328406     Source Type: Journal    
DOI: 10.1016/j.arth.2018.02.067     Document Type: Article
Times cited : (395)

References (24)
  • 1
    • 85050668724 scopus 로고    scopus 로고
    • Top Trends in the Gartner hype cycle for emerging technologies, 2017
    • [accessed 12.02.18]
    • Panetta, K., Top Trends in the Gartner hype cycle for emerging technologies, 2017. Gartner, 2017, 1–5 http://www.gartner.com/smarterwithgartner/top-trends-in-the-gartner-hype-cycle-for-emerging-technologies-2017/ [accessed 12.02.18].
    • (2017) Gartner , pp. 1-5
    • Panetta, K.1
  • 2
    • 85050004953 scopus 로고    scopus 로고
    • Gartner hype cycle
    • [accessed 11.02.18]
    • Gartner Inc. Gartner hype cycle. Gartner Inc., 2017 http://www.gartner.com/technology/research/methodologies/hype-cycle.jsp [accessed 11.02.18].
    • (2017) Gartner Inc.
  • 3
    • 84946229359 scopus 로고    scopus 로고
    • Elon Musk: artificial intelligence is our biggest existential threat
    • The Guardian 2014 [accessed 11.02.18]
    • Gibbs, S., Elon Musk: artificial intelligence is our biggest existential threat. The Guardian 2014, 2014 http://www.theguardian.com/technology/2014/oct/27/elon-musk-artificial-intelligence-ai-biggest-existential-threat [accessed 11.02.18].
    • (2014)
    • Gibbs, S.1
  • 4
    • 84946785829 scopus 로고    scopus 로고
    • Stephen Hawking warns artificial intelligence could end mankind
    • BBC News [accessed 11.02.18]
    • Cellan-Jones, R., Stephen Hawking warns artificial intelligence could end mankind. 2014, BBC News, 1–5 http://www.bbc.com/news/technology-30290540 [accessed 11.02.18].
    • (2014) , pp. 1-5
    • Cellan-Jones, R.1
  • 5
    • 85027305052 scopus 로고    scopus 로고
    • Accenture Institute for High Performance: Why AI is the Future of Growth
    • [accessed 11.02.18]
    • Purdy, M., Daugherty, P., Accenture Institute for High Performance: Why AI is the Future of Growth. 2016, 1–72 https://www.accenture.com/_acnmedia/PDF-19/AI_in_Management_Report.pdf#zoom=50 [accessed 11.02.18].
    • (2016) , pp. 1-72
    • Purdy, M.1    Daugherty, P.2
  • 6
    • 85049970352 scopus 로고    scopus 로고
    • Computational Intelligence and Knowledge. Computational Intelligence: A Logical Approach
    • Poole DL, Mackworth A, Goebel RG. Computational Intelligence and Knowledge. Computational Intelligence: A Logical Approach 1998:1–22.
    • (1998) , pp. 1-22
    • Poole, D.L.1    Mackworth, A.2    Goebel, R.G.3
  • 7
    • 85029695623 scopus 로고    scopus 로고
    • McKinsey Global Institute: Artificial Intelligence The Next Digital Frontier?
    • [accessed 11.02.18]
    • Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlström, P., et al. McKinsey Global Institute: Artificial Intelligence The Next Digital Frontier?. 2017, 80 https://www.mckinsey.com/∼/media/McKinsey/Industries/AdvancedElectronics/OurInsights/Howartificialintelligencecandeliverrealvaluetocompanies/MGI-Artificial-Intelligence-Discussion-paper.ashx [accessed 11.02.18].
    • (2017) , pp. 80
    • Bughin, J.1    Hazan, E.2    Ramaswamy, S.3    Chui, M.4    Allas, T.5    Dahlström, P.6
  • 8
    • 85049979702 scopus 로고    scopus 로고
    • U Colorado OR Optimization 2017
    • [accessed 11.02.18]
    • LeenTaas. U Colorado OR Optimization 2017. https://leantaas.com/uploads/booklets/iQueue_for_Operating_Rooms_UCHealth_Results_Handbook.pdf [accessed 11.02.18].
  • 9
    • 85049998572 scopus 로고    scopus 로고
    • Infusion Center Optimization 2017
    • [accessed 11.02.18]
    • LeenTaas. Infusion Center Optimization 2017. https://leantaas.com/infusion_centers/case_studies_booklet [accessed 11.02.18].
  • 10
    • 85049946646 scopus 로고    scopus 로고
    • Moore's Law: Transistors per microprocessor
    • Ourworldindata.org [accessed 11.02.18]
    • Rupp, K., Moore's Law: Transistors per microprocessor. Ourworldindata.org https://ourworldindata.org/grapher/transistors-per-microprocessor, 2017 [accessed 11.02.18].
    • (2017)
    • Rupp, K.1
  • 11
    • 46649111901 scopus 로고    scopus 로고
    • The law of accelerating returns
    • Buchanan, M., The law of accelerating returns. Nat Phys, 4, 2008, 507, 10.1038/nphys1010.
    • (2008) Nat Phys , vol.4 , pp. 507
    • Buchanan, M.1
  • 12
    • 85049992730 scopus 로고    scopus 로고
    • Watson Analytics Use Case: The Iris Data Set 2015
    • [accessed 11.02.18]
    • True, J., Watson Analytics Use Case: The Iris Data Set 2015. https://www.ibm.com/communities/analytics/watson-analytics-blog/watson-analytics-use-case-the-iris-data-set/ [accessed 11.02.18].
    • True, J.1
  • 13
    • 85049966241 scopus 로고    scopus 로고
    • 5 Ways Cognitive Technology Can Help Revolutionize Healthcare - Watson Health Perspectives
    • Watson Health [accessed 11.02.18]
    • Watson Health. 5 Ways Cognitive Technology Can Help Revolutionize Healthcare - Watson Health Perspectives. Watson Health https://www.ibm.com/blogs/watson-health/5-ways-cognitive-technology-can-help-revolutionize-healthcare/, 2016 [accessed 11.02.18].
    • (2016)
  • 14
    • 85036497908 scopus 로고    scopus 로고
    • Early experience with IBM Watson for Oncology (WFO) cognitive computing system for lung and colorectal cancer treatment
    • Somashekhar, S.P., Sepúlveda, M.J., Norden, A.D., Rauthan, A., Arun, K., Patil, P., et al. Early experience with IBM Watson for Oncology (WFO) cognitive computing system for lung and colorectal cancer treatment. J Clin Oncol, 35, 2017, 8527, 10.1200/JCO.2017.35.15_suppl.8527.
    • (2017) J Clin Oncol , vol.35 , pp. 8527
    • Somashekhar, S.P.1    Sepúlveda, M.J.2    Norden, A.D.3    Rauthan, A.4    Arun, K.5    Patil, P.6
  • 15
    • 85028080442 scopus 로고    scopus 로고
    • Cognitive computing and the future of health care cognitive computing and the future of healthcare: the cognitive power of IBM Watson has the potential to Transform Global Personalized medicine
    • Ahmed, M.N., Toor, A.S., O'Neil, K., Friedland, D., Cognitive computing and the future of health care cognitive computing and the future of healthcare: the cognitive power of IBM Watson has the potential to Transform Global Personalized medicine. IEEE Pulse 8 (2017), 4–9, 10.1109/MPUL.2017.2678098.
    • (2017) IEEE Pulse , vol.8 , pp. 4-9
    • Ahmed, M.N.1    Toor, A.S.2    O'Neil, K.3    Friedland, D.4
  • 16
    • 85049982853 scopus 로고    scopus 로고
    • {IBM}'s Watson proves useful at fighting cancer—except in Texas
    • Ars Technica [accessed 11.02.18]
    • Mole, B., {IBM}'s Watson proves useful at fighting cancer—except in Texas. 2017, Ars Technica https://arstechnica.com/science/2017/02/ibms-watson-proves-useful-at-fighting-cancer-except-in-texas/ [accessed 11.02.18].
    • (2017)
    • Mole, B.1
  • 17
    • 0024070146 scopus 로고
    • Artificial neural networks
    • Hopfield, J.J., Artificial neural networks. IEEE Circuits Devices Mag 4 (1988), 3–10, 10.1109/101.8118.
    • (1988) IEEE Circuits Devices Mag , vol.4 , pp. 3-10
    • Hopfield, J.J.1
  • 18
    • 84910651844 scopus 로고    scopus 로고
    • Deep learning in neural networks: an overview
    • Schmidhuber, J., Deep learning in neural networks: an overview. Neural Networks 61 (2015), 85–117, 10.1016/j.neunet.2014.09.003.
    • (2015) Neural Networks , vol.61 , pp. 85-117
    • Schmidhuber, J.1
  • 19
    • 84904867557 scopus 로고    scopus 로고
    • Playing Atari with Deep Reinforcement Learning Volodymyr
    • arXiv Preprint arXiv
    • Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., et al. Playing Atari with Deep Reinforcement Learning Volodymyr. 2013, arXiv Preprint arXiv, 1–9, 10.1038/nature14236.
    • (2013) , pp. 1-9
    • Mnih, V.1    Kavukcuoglu, K.2    Silver, D.3    Graves, A.4    Antonoglou, I.5    Wierstra, D.6
  • 20
    • 84963949906 scopus 로고    scopus 로고
    • Mastering the game of Go with deep neural networks and tree search
    • Silver, D., Huang, A., Maddison, C.J., Guez, A., Sifre, L., Van Den Driessche, G., et al. Mastering the game of Go with deep neural networks and tree search. Nature 529 (2016), 484–489, 10.1038/nature16961.
    • (2016) Nature , vol.529 , pp. 484-489
    • Silver, D.1    Huang, A.2    Maddison, C.J.3    Guez, A.4    Sifre, L.5    Van Den Driessche, G.6
  • 21
    • 84979019529 scopus 로고    scopus 로고
    • Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data
    • Aliper, A., Plis, S., Artemov, A., Ulloa, A., Mamoshina, P., Zhavoronkov, A., Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data. Mol Pharmaceutics 13 (2016), 2524–2530, 10.1021/acs.molpharmaceut.6b00248.
    • (2016) Mol Pharmaceutics , vol.13 , pp. 2524-2530
    • Aliper, A.1    Plis, S.2    Artemov, A.3    Ulloa, A.4    Mamoshina, P.5    Zhavoronkov, A.6
  • 22
    • 85049981172 scopus 로고    scopus 로고
    • Using deep learning to enhance cancer diagnosis and classification. Proceeding of the 30th International Conference on machine learning Atlanta, Georgia, USA 2013;28.
    • Fakoor R, Ladhak F, Nazi A, Huber M. Using deep learning to enhance cancer diagnosis and classification. Proceeding of the 30th International Conference on machine learning Atlanta, Georgia, USA 2013;28.
    • Fakoor, R.1    Ladhak, F.2    Nazi, A.3    Huber, M.4
  • 23
    • 85014442834 scopus 로고    scopus 로고
    • Deep Learning for Identifying Metastatic Breast Cancer
    • arXiv Preprint
    • Wang, D., Khosla, A., Gargeya, R., Irshad, H., Beck, A.H., Deep Learning for Identifying Metastatic Breast Cancer. 2016, arXiv Preprint, 1–6 http://arxiv.org/abs/1606.05718.
    • (2016) , pp. 1-6
    • Wang, D.1    Khosla, A.2    Gargeya, R.3    Irshad, H.4    Beck, A.H.5
  • 24
    • 85017623447 scopus 로고    scopus 로고
    • Accurate and reproducible invasive breast cancer detection in whole-slide images: a Deep Learning approach for quantifying tumor extent
    • Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N.N.C., et al. Accurate and reproducible invasive breast cancer detection in whole-slide images: a Deep Learning approach for quantifying tumor extent. Scientific Rep, 7, 2017, 46450, 10.1038/srep46450.
    • (2017) Scientific Rep , vol.7 , pp. 46450
    • Cruz-Roa, A.1    Gilmore, H.2    Basavanhally, A.3    Feldman, M.4    Ganesan, S.5    Shih, N.N.C.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.