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Waniek
Neural Comput (2019)
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Komorowski
Intensive Care Med (2019)
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Edelman, Rentsch, Justice
Curr Opin HIV AIDS (2019)
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Zheng, Zhang, Kim et al
Clin Transl Gastroenterol (2019)
Artificial intelligence and neural networks in urology: current clinical applications
Checcucci, Autorino, Cacciamani et al
Minerva Urol Nefrol (2019)
Machine learning methods are comparable to logistic regression techniques in predicting severe walking limitation following total knee arthroplasty
Pua, Kang, Thumboo et al
Knee Surg Sports Traumatol Arthrosc (2019)
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Mirchi, Bissonnette, Ledwos et al
Oper Neurosurg (Hagerstown) (2019)
Optimizing the study design of clinical trials to identify the efficacy of artificial intelligence tools in clinical practices-Authors' reply
Li, Zhao, Yun et al
EClinicalMedicine (2019) 16, 12-13
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EClinicalMedicine (2019) 16, 10-11
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Barrett, Boyne, Brandts et al
EPMA J (2019) 10, 445-464
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Lameira, Eerola, Ravignani
Sci Rep (2019) 9, 18914
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Cifuentes-Alcobendas, Domínguez-Rodrigo
Sci Rep (2019) 9, 18933
Current state of science in machine learning methods for automatic infant pain evaluation using facial expression information: study protocol of a systematic review and meta-analysis
Cheng, Liu, Philpotts et al
BMJ Open (2019) 9, e030482
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Ross, Danforth, Eppstein et al
Patient Educ Couns (2019)
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Alloghani, Aljaaf, Hussain et al
BMC Med Inform Decis Mak (2019) 19, 253
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Wang, Zhang, Li et al
Comput Methods Programs Biomed (2019) 187, 105254
Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms
Cao, Cao, Guo et al
Neural Netw (2019) 123, 70-81
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Huang, Yang, Fong et al
Cancer Lett. (2019)
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Wu, Chen, Deng et al
J. Allergy Clin. Immunol. (2019)