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Clinical and immunological features of severe and moderate coronavirus disease 2019
Clinical and immunological features of severe and moderate coronavirus disease 2019
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Clinical and immunological features of severe and moderate coronavirus disease 2019

Chen, Guang ; Wu, Di ; Guo, Wei ; Cao, Yong ; Huang, Da ; Wang, Hongwu ; Wang, Tao ; Zhang, Xiaoyun ; Chen, Huilong ; Yu, Haijing ; Zhang, Xiaoping ; Zhang, Minxia ; Wu, Shiji ; Song, Jianxin ; Chen, Tao ; Han, Meifang ; Li, Shusheng ; Luo, Xiaoping ; Zhao, Jianping ; Ning, Qin

The Journal of clinical investigation, 2020-05, Vol.130 (5), p.2620-2629 [Periódico revisado por pares]

United States: American Society for Clinical Investigation

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2
Clinically applicable deep learning for diagnosis and referral in retinal disease
Clinically applicable deep learning for diagnosis and referral in retinal disease
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Clinically applicable deep learning for diagnosis and referral in retinal disease

De Fauw, Jeffrey ; Ledsam, Joseph R ; Romera-Paredes, Bernardino ; Nikolov, Stanislav ; Tomasev, Nenad ; Blackwell, Sam ; Askham, Harry ; Glorot, Xavier ; O'Donoghue, Brendan ; Visentin, Daniel ; van den Driessche, George ; Lakshminarayanan, Balaji ; Meyer, Clemens ; Mackinder, Faith ; Bouton, Simon ; Ayoub, Kareem ; Chopra, Reena ; King, Dominic ; Karthikesalingam, Alan ; Hughes, Cían O ; Raine, Rosalind ; Hughes, Julian ; Sim, Dawn A ; Egan, Catherine ; Tufail, Adnan ; Montgomery, Hugh ; Hassabis, Demis ; Rees, Geraint ; Back, Trevor ; Khaw, Peng T ; Suleyman, Mustafa ; Cornebise, Julien ; Keane, Pearse A ; Ronneberger, Olaf

Nature medicine, 2018-09, Vol.24 (9), p.1342-1350 [Periódico revisado por pares]

United States: Nature Publishing Group

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3
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
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Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

Hosny, Ahmed ; Parmar, Chintan ; Coroller, Thibaud P ; Grossmann, Patrick ; Zeleznik, Roman ; Kumar, Avnish ; Bussink, Johan ; Gillies, Robert J ; Mak, Raymond H ; Aerts, Hugo J W L Butte, Atul J.

PLoS medicine, 2018-11, Vol.15 (11), p.e1002711 [Periódico revisado por pares]

United States: Public Library of Science

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4
A guide to deep learning in healthcare
A guide to deep learning in healthcare
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A guide to deep learning in healthcare

Esteva, Andre ; Robicquet, Alexandre ; Ramsundar, Bharath ; Kuleshov, Volodymyr ; DePristo, Mark ; Chou, Katherine ; Cui, Claire ; Corrado, Greg ; Thrun, Sebastian ; Dean, Jeff

Nature medicine, 2019-01, Vol.25 (1), p.24-29 [Periódico revisado por pares]

United States: Nature Publishing Group

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5
Availability of personal protective equipment and diagnostic and treatment facilities for healthcare workers involved in COVID-19 care: A cross-sectional study in Brazil, Colombia, and Ecuador
Availability of personal protective equipment and diagnostic and treatment facilities for healthcare workers involved in COVID-19 care: A cross-sectional study in Brazil, Colombia, and Ecuador
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Availability of personal protective equipment and diagnostic and treatment facilities for healthcare workers involved in COVID-19 care: A cross-sectional study in Brazil, Colombia, and Ecuador

Martin-Delgado, Jimmy ; Viteri, Eduardo ; Mula, Aurora ; Serpa, Piedad ; Pacheco, Gloria ; Prada, Diana ; Campos de Andrade Lourenção, Daniela ; Campos Pavan Baptista, Patricia ; Ramirez, Gustavo ; Mira, Jose Joaquin Thet Wai, Khin

PloS one, 2020-11, Vol.15 (11), p.e0242185-e0242185 [Periódico revisado por pares]

United States: Public Library of Science

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6
Security Vulnerabilities, Attacks, Countermeasures, and Regulations of Networked Medical Devices-A Review
Security Vulnerabilities, Attacks, Countermeasures, and Regulations of Networked Medical Devices-A Review
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Security Vulnerabilities, Attacks, Countermeasures, and Regulations of Networked Medical Devices-A Review

Yaqoob, Tahreem ; Abbas, Haider ; Atiquzzaman, Mohammed

IEEE Communications surveys and tutorials, 2019-01, Vol.21 (4), p.3723-3768 [Periódico revisado por pares]

New York: IEEE

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7
Consideration of Dose Limits for Organs at Risk of Thoracic Radiotherapy: Atlas for Lung, Proximal Bronchial Tree, Esophagus, Spinal Cord, Ribs, and Brachial Plexus
Consideration of Dose Limits for Organs at Risk of Thoracic Radiotherapy: Atlas for Lung, Proximal Bronchial Tree, Esophagus, Spinal Cord, Ribs, and Brachial Plexus
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Consideration of Dose Limits for Organs at Risk of Thoracic Radiotherapy: Atlas for Lung, Proximal Bronchial Tree, Esophagus, Spinal Cord, Ribs, and Brachial Plexus

Kong, Feng-Ming (Spring), M.D., Ph.D ; Ritter, Timothy, Ph.D ; Quint, Douglas J., M.D ; Senan, Suresh, M.D ; Gaspar, Laurie E., M.D ; Komaki, Ritsuko U., M.D ; Hurkmans, Coen W., Ph.D ; Timmerman, Robert, M.D ; Bezjak, Andrea, M.D ; Bradley, Jeffrey D., M.D ; Movsas, Benjamin, M.D ; Marsh, Lon, C.M.D ; Okunieff, Paul, M.D ; Choy, Hak, M.D ; Curran, Walter J., M.D

International journal of radiation oncology, biology, physics, 2011-12, Vol.81 (5), p.1442-1457 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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8
Moving fluid biomarkers for Alzheimer's disease from research tools to routine clinical diagnostics
Moving fluid biomarkers for Alzheimer's disease from research tools to routine clinical diagnostics
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Moving fluid biomarkers for Alzheimer's disease from research tools to routine clinical diagnostics

Zetterberg, Henrik ; Blennow, Kaj

Molecular neurodegeneration, 2021-02, Vol.16 (1), p.10-10, Article 10 [Periódico revisado por pares]

England: BioMed Central Ltd

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9
A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning
A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning
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A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning

Huang, Wenkai ; Xue, Yihao ; Wu, Yu Qiu, Yuchen

PloS one, 2019-07, Vol.14 (7), p.e0219369-e0219369 [Periódico revisado por pares]

United States: Public Library of Science

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10
Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis
Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis
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Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis

Muscogiuri, Giuseppe ; Van Assen, Marly ; Tesche, Christian ; De Cecco, Carlo N. ; Chiesa, Mattia ; Scafuri, Stefano ; Guglielmo, Marco ; Baggiano, Andrea ; Fusini, Laura ; Guaricci, Andrea I. ; Rabbat, Mark G. ; Pontone, Gianluca Liberale, Luca ; Luca Liberale

BioMed research international, 2020, Vol.2020, p.6649410-10 [Periódico revisado por pares]

United States: Hindawi

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