AAHKS SymposiumArtificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?
References (24)
Deep learning in neural networks: an overview
Neural Networks
(2015)- et al.
Deep Learning for Identifying Metastatic Breast Cancer
(2016) Top Trends in the Gartner hype cycle for emerging technologies, 2017
Gartner
(2017)Gartner hype cycle
Gartner Inc.
(2017)Elon Musk: artificial intelligence is our biggest existential threat
(2014)Stephen Hawking warns artificial intelligence could end mankind
(2014)- et al.
Accenture Institute for High Performance: Why AI is the Future of Growth
(2016) - Poole DL, Mackworth A, Goebel RG. Computational Intelligence and Knowledge. Computational Intelligence: A Logical...
- et al.
McKinsey Global Institute: Artificial Intelligence The Next Digital Frontier?
(2017) U Colorado OR Optimization 2017
Infusion Center Optimization 2017
Moore's Law: Transistors per microprocessor
Cited by (361)
Prediction of concrete and FRC properties at high temperature using machine and deep learning: A review of recent advances and future perspectives
2024, Journal of Building EngineeringModeling soil loss under rainfall events using machine learning algorithms
2024, Journal of Environmental ManagementArtificial Intelligence for Anesthesiology Board–Style Examination Questions: Role of Large Language Models
2024, Journal of Cardiothoracic and Vascular AnesthesiaEvaluation of machine learning models to identify hip arthroplasty implants using transfer learning algorithms
2023, Journal of Clinical Orthopaedics and TraumaArtificial intelligence in physical rehabilitation: A systematic review
2023, Artificial Intelligence in Medicine
One or more of the authors of this paper have disclosed potential or pertinent conflicts of interest, which may include receipt of payment, either direct or indirect, institutional support, or association with an entity in the biomedical field which may be perceived to have potential conflict of interest with this work. For full disclosure statements refer to https://doi.org/10.1016/j.arth.2018.02.067.
© 2018 Elsevier Inc. All rights reserved.