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A Brave New World Without Diagnostic Radiologists? Really? https://www.ncbi.nlm.nih.gov/pubmed/29706251 Can Assoc Radiol J. 2018 May;69(2):119. doi: 10.1016/j.carj.2018.03.004.A Brave New World Without Diagnostic Radiologists? Really?Munk PL1.Author information1Professor of Radiology, Orthopaedics and Palliative Care, University of British Columbia, Vancouver, BC, Canada. Electronic address: editor@car.ca.PMID: 29706251 DOI: 10.1016/j.carj.2018.03.004[I.. 더보기
Towards a new classification of stable phase schizophrenia into major and simple neuro-cognitive psychosis: Results of unsupervised machine learning analysis. https://www.ncbi.nlm.nih.gov/pubmed/29790237 Towards a new classification of stable phase schizophrenia into major and simple neuro-cognitive psychosis: Results of unsupervised machine learning analysis.Kanchanatawan B1, Sriswasdi S2, Thika S1, Stoyanov D3, Sirivichayakul S4, Carvalho AF5, Geffard M6,7, Maes M1,3,8.Author information1Department of Psychiatry, Faculty of Medicine, Chulalongkorn U.. 더보기
A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents. https://www.ncbi.nlm.nih.gov/pubmed/29790930 Gerontologist. 2018 May 21. doi: 10.1093/geront/gny056. [Epub ahead of print]A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents.Gannod GC1, Abbott KM2, Van Haitsma K3,4, Martindale N1, Heppner A5.Author information1Department of Computer Science, Tennessee Technological U.. 더보기
Time to regenerate: the doctor in the age of artificial intelligence https://www.ncbi.nlm.nih.gov/pubmed/29648509 J R Soc Med. 2018 Apr;111(4):113-116. doi: 10.1177/0141076818762648.Time to regenerate: the doctor in the age of artificial intelligence.Liu X1,2,3, Keane PA1,4, Denniston AK1,2,3,4.Author information11 Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham B15 2TH, UK.22 Academic Unit of Ophthalmology, Institute.. 더보기
Network Configurations in the Human Brain Reflect Choice Bias during Rapid Face Processing. https://www.ncbi.nlm.nih.gov/pubmed/29118108 J Neurosci. 2017 Dec 13;37(50):12226-12237. doi: 10.1523/JNEUROSCI.1677-17.2017. Epub 2017 Nov 8. Network Configurations in the Human Brain Reflect Choice Bias during Rapid Face Processing. Tu T1, Schneck N1,2, Muraskin J1, Sajda P3,4,5. Author information Abstract Network interactions are likely to be instrumental in processes underlying rapid percep.. 더보기
Invariant recognition drives neural representations of action sequences https://www.ncbi.nlm.nih.gov/pubmed/29253864 PLoS Comput Biol. 2017 Dec 18;13(12):e1005859. doi: 10.1371/journal.pcbi.1005859. eCollection 2017 Dec. Invariant recognition drives neural representations of action sequences. Tacchetti A1, Isik L1, Poggio T1. Author information 1 Center for Brains Minds and Machines, Massachusetts Institute of Technology, Cambridge, MA, United States. Abstract Recog.. 더보기
Machine learning in cardiovascular medicine: are we there yet? https://www.ncbi.nlm.nih.gov/pubmed/29352006 Heart. 2018 Jan 19. pii: heartjnl-2017-311198. doi: 10.1136/heartjnl-2017-311198. [Epub ahead of print] Machine learning in cardiovascular medicine: are we there yet? Shameer K1,2,3,4,5,6, Johnson KW2,3,4,5, Glicksberg BS2,3,4,5,7, Dudley JT2,3,4,5, Sengupta PP8. Author information Abstract Artificial intelligence (AI) broadly refers to analytical alg.. 더보기
A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis. https://www.ncbi.nlm.nih.gov/pubmed/28194221 Comput Math Methods Med. 2017;2017:1861645. doi: 10.1155/2017/1861645. Epub 2017 Jan 17.A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis.Singh B1, Wagatsuma H2.Author information1Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology (KYUTECH), Kitakyushu, Japan.2Gradua.. 더보기
Conflicting results between the analysis of skin lesions using a mobile-phone application and a dermatologist's clinical diagnosis: a pilot study. https://www.ncbi.nlm.nih.gov/pubmed/28295172 Br J Dermatol. 2017 Mar 10. doi: 10.1111/bjd.15443. [Epub ahead of print]Poor agreement between a mobile phone application for the analysis of skin lesions and the clinical diagnosis of the dermatologist, a pilot study.Nabil R1, Bergman W1, Kukutsch NA1.Author information:1Department of Dermatology, Leiden University Medical Center, Albinusdreef 2, 23.. 더보기
Models of logistic regression analysis, support vector machine, and back-propagation neural network based on serum tumor markers in colorectal cancer diagnosis https://www.ncbi.nlm.nih.gov/pubmed/27323037 Genet Mol Res. 2016 May 13;15(2). doi: 10.4238/gmr.15028643.Models of logistic regression analysis, support vector machine, and back-propagation neural network based on serum tumor markers in colorectal cancer diagnosis.Zhang B1, Liang XL2, Gao HY2, Ye LS2, Wang YG1.Author information1Training Department, Third Military Medical University of Chinese P.. 더보기

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