Deep transfer learning for reducing health care disparities arising from biomedical data inequality
Yan Gao, Yan Cui · Nature Communications · 2020
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Health Informatics
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121 papersQuestions on this topic
Concordance Between Watson for Oncology and Multidisciplinary Teams in Colorectal Cancer: Prognostic Implications and Predicting Concordance
Chenchen Mao, Xinxin Yang, Ce Zhu et al. · Frontiers in Oncology · 2020
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Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol
Brendan Kelly, Conor Judge, Stephanie M. Bollard et al. · Insights into Imaging · 2020
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BioReader: a text mining tool for performing classification of biomedical literature
Christian Simon, Kristian Davidsen, Christina Hansen et al. · BMC Bioinformatics · 2019
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The Latest Trends in the Use of Deep Learning in Radiology Illustrated Through the Stages of Deep Learning Algorithm Development
Kyoung Doo Song, Myeongchan Kim, Synho Do · 대한영상의학회지 · 2019
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A cloud based knowledge discovery framework, for medicinal plants from PubMed literature
Behera Niyati Kumari, G.S. Mahalakshmi · Informatics in Medicine Unlocked · 2019
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Replicating medication trend studies using ad hoc information extraction in a clinical data warehouse
Georg Dietrich, Jonathan Krebs, Leon Liman et al. · BMC Medical Informatics and Decision Making · 2019
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Unlocking the Power of Artificial Intelligence and Big Data in Medicine
Lovis, Christian · Journal of Medical Internet Research · 2019
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Thinking Machines and Risk Assessment: On the Path to Precision Medicine
Kirk N. Garratt, Mark A. Schneider · Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease · 2019
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Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study
Tom Nadarzynski, Oliver Miles, Aimee Cowie et al. · Digital Health · 2019
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An overview of GeoAI applications in health and healthcare
Maged N. Kamel Boulos, Guochao Peng, Trang VoPham · International Journal of Health Geographics · 2019
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Artificial Intelligence in medical imaging practice: looking to the future
Sarah J Lewis, Ziba Gandomkar, Patrick C Brennan · Journal of Medical Radiation Sciences · 2019
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Artificial Intelligence in the Management of Glioma: Era of Personalized Medicine
Houman Sotoudeh, Omid Shafaat, Joshua D. Bernstock et al. · Frontiers in Oncology · 2019
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Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science
Jong Hyo Kim · 대한영상의학회지 · 2019
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Master clinical medical knowledge at certificated-doctor-level with deep learning model
Ji Wu, Xien Liu, Xiao Zhang et al. · Nature Communications · 2018
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Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature
Mercedes Arguello Casteleiro, George Demetriou, Warren Read et al. · Journal of Biomedical Semantics · 2018
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Drug drug interaction extraction from the literature using a recursive neural network.
Sangrak Lim, Kyubum Lee, Jaewoo Kang · PLoS ONE · 2018
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Big data, artificial intelligence, and structured reporting
Daniel Pinto dos Santos, Bettina Baeßler · European Radiology Experimental · 2018
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Automatic ICD-10 coding algorithm using an improved longest common subsequence based on semantic similarity.
YunZhi Chen, HuiJuan Lu, LanJuan Li · PLoS ONE · 2017
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Artificial intelligence: more human with human
Moshe Sipper, Jason H. Moore · BioData Mining · 2017
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