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Deep Learning-A Technology With the Potential to Transform Health Care. https://www.ncbi.nlm.nih.gov/pubmed/30178065 JAMA. 2018 Sep 18;320(11):1101-1102. doi: 10.1001/jama.2018.11100.Deep Learning-A Technology With the Potential to Transform Health Care.Hinton G1.Author information1Google Brain Team and Department of Computer Science, University of Toronto, Ontario, Canada.Comment inClinical Implications and Challenges of Artificial Intelligence and Deep Learning. [.. 더보기
Computer-Aided Orthopaedic Surgery: State-of-the-Art and Future Perspectives. https://www.ncbi.nlm.nih.gov/pubmed/30306468 Adv Exp Med Biol. 2018;1093:1-20. doi: 10.1007/978-981-13-1396-7_1.Computer-Aided Orthopaedic Surgery: State-of-the-Art and Future Perspectives.Zheng G1, Nolte LP2.Author information1Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland. guoyan.zheng@istb.unibe.ch.2Institute for Surgical Technology and Biomechanics,.. 더보기
Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance https://www.ncbi.nlm.nih.gov/pubmed/30307362 J Sports Sci. 2018 Oct 11:1-33. doi: 10.1080/02640414.2018.1521769. [Epub ahead of print]Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance.Cust EE1,2, Sweeting AJ1,2, Ball K1, Robertson S1,2.Author information1a Institute for Health and Sport (IHES) , Victoria University , Melbo.. 더보기
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation. https://www.ncbi.nlm.nih.gov/pubmed/30307879 IEEE Trans Neural Netw Learn Syst. 2018 Oct 9. doi: 10.1109/TNNLS.2018.2870182. [Epub ahead of print]STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation.Nie D, Wang L, Gao Y, Lian J, Shen D.AbstractAccurate segmentation of pelvic organs is important for prostate radiation therapy. Modern radiation the.. 더보기
XAI. Explainable AI. 설명가능 인공지능 (언론 기사) http://www.hani.co.kr/arti/economy/it/860313.html 한겨레 신문. 기사. ‘블랙박스’ 인공지능, 유리상자로 만들면 불안 사라질까 설명가능한 인공지능(XAI) 인공지능 연구 최전선으로 부상 AI결정 설명가능해야 활용 길 열려 AI와 협업 도울 도구 기대받지만 ‘설명’이 불안의 만병통치약 못 돼 2016년 알파고-이세돌 대국에서 특이한 점은 누구도 알파고의 포석과 행마를 이해할 수 없었다는 점이다. 해설하는 프로기사들도 연신 “도무지 알 수 없는 알파고의 수”라고 반복했으며 알파고를 만든 딥마인드의 개발자도, 대신 돌을 놓은 아자 황도 돌의 의미를 설명할 수 없었다. 이해도, 설명도 할 수 없지만 알파고의 수는 대적 불가능이었다. 작동원리를 알 수 없지만 뛰어난 효율성의.. 더보기
Deep Learning and Its Applications in Biomedicine. https://www.ncbi.nlm.nih.gov/pubmed/29522900 Genomics Proteomics Bioinformatics. 2018 Feb;16(1):17-32. doi: 10.1016/j.gpb.2017.07.003. Epub 2018 Mar 6.Deep Learning and Its Applications in Biomedicine.Cao C1, Liu F2, Tan H3, Song D3, Shu W2, Li W4, Zhou Y5, Bo X6, Xie Z7.Author information1CapitalBio Corporation, Beijing 102206, China.2Department of Biotechnology, Beijing Institute of Radiation .. 더보기
Introduction to the special issue on deep reinforcement learning: An editorial. https://www.ncbi.nlm.nih.gov/pubmed/30122431 Neural Netw. 2018 Aug 3. pii: S0893-6080(18)30220-X. doi: 10.1016/j.neunet.2018.08.001. [Epub ahead of print]Introduction to the special issue on deep reinforcement learning: An editorial.Sun R1, Silver D2, Tesauro G3, Huang GB4.Author information1Cognitive Science Department, Rensselaer Polytechnic Institute, 110 Eighth Street, Carnegie 302A, Troy, N.. 더보기
Predicting Mortality in the Surgical Intensive Care Unit Using Artificial Intelligence and Natural Language Processing of Physician Documentation. https://www.ncbi.nlm.nih.gov/pubmed/30064586 Am Surg. 2018 Jul 1;84(7):1190-1194.Predicting Mortality in the Surgical Intensive Care Unit Using Artificial Intelligence and Natural Language Processing of Physician Documentation.Parreco J, Hidalgo A, Kozol R, Namias N, Rattan R.AbstractThe purpose of this study was to use natural language processing of physician documentation to predict mortality .. 더보기
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection. https://www.ncbi.nlm.nih.gov/pubmed/29795581 PLoS One. 2018 May 24;13(5):e0196828. doi: 10.1371/journal.pone.0196828. eCollection 2018.High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection.Cruz-Roa A1,2, Gilmore H3, Basavanhally A4, Feldman M5, Ganesan S6, Shih N5, Tomaszewski J7,.. 더보기
Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap. https://www.ncbi.nlm.nih.gov/pubmed/30066475 Top Cogn Sci. 2018 Jul 31. doi: 10.1111/tops.12371. [Epub ahead of print]Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap.Ong DC1,2, Zaki J3, Goodman ND3,4.Author information1A*STAR Artificial Intelligence Initiative, Agency for Science, Technology and Research (A*STAR).2Institute of High Performance Computing, Agency .. 더보기

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