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Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

IEEE Transactions on Technology and Society

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IEEE Transactions on Technology and Society 2022年第4期3卷 272-289页

作者： Allahabadi, Himanshi Amann, Julia Balot, Isabelle Beretta, Andrea Binkley, Charles Bozenhard, Jonas Bruneault, Frederick Brusseau, James Candemir, Sema Cappellini, Luca Alessandro Chakraborty, Subrata Cherciu, Nicoleta Cociancig, Christina Coffee, Megan Ek, Irene Espinosa-Leal, Leonardo Farina, Davide Fieux-Castagnet, Genevieve Frauenfelder, Thomas Gallucci, Alessio Giuliani, Guya Golda, Adam Van Halem, Irmhild Hildt, Elisabeth Holm, Sune Kararigas, Georgios Krier, Sebastien A. Kuhne, Ulrich Lizzi, Francesca Madai, Vince I. Markus, Aniek F. Masis, Serg Mathez, Emilie Wiinblad Mureddu, Francesco Neri, Emanuele Osika, Walter Ozols, Matiss Panigutti, Cecilia Parent, Brendan Pratesi, Francesca Moreno-Sanchez, Pedro A. Sartor, Giovanni Savardi, Mattia Signoroni, Alberto Sormunen, Hanna-Maria Spezzatti, Andy Srivastava, Adarsh Stephansen, Annette F. Theng, Lau Bee Tithi, Jesmin Jahan Tuominen, Jarno Umbrello, Steven Vaccher, Filippo Vetter, Dennis Westerlund, Magnus Wurth, Renee Zicari, Roberto V. Ey Netherlands Enterprise Intelligence Department Amsterdam1083 HP Netherlands Eth Zurich Health Ethics and Policy Lab Department of Health Sciences and Technology Zürich8092 Switzerland Center for Diplomatic and Strategic Studies Postgraduate Studies in Diplomacy and International Relations Paris75015 France Pisa56124 Italy Hackensack Meridian Health Bioethics Center EdisonNJ08820 United States University of Oxford Faculty of Philosophy OxfordOX2 6GG United Kingdom Collège André- Laurendeau Philosophie Department MontrealQCH8N 2J4 Canada Université du Québec À Montréal École des Médias MontrealQCH2L 2C4 Canada Pace University Philosophy Department New YorkNY10038 United States The Ohio State University Wexner Medical Center Department of Radiology ColumbusOH43210 United States Humanitas Research Hospital Department of Radiology Milan20089 Italy Humanitas University Department of Biomedical Sciences Milan20089 Italy University of New England Faculty of Science Agriculture Business and Law ArmidaleNSW2351 Australia University of Technology Sydney Faculty of Engineering and Information Technology SydneyNSW2007 Australia Scuola Superiore Sant'Anna European Centre of Excellence on the Regulation of Robotics and Ai Pisa56127 Italy University of Bremen Group of Computer Architecture Bremen28359 Germany New York University Grossman School of Medicine Division of Infectious Diseases and Immunology Department of Medicine New YorkNY10016 United States Digital Institute Ai Research Section Stockholm16731 Sweden Arcada University of Applied Sciences Department of Business Management and Analytics Helsinki00550 Finland University of Brescia Radiological Sciences and Public Health Department of Medical and Surgical Specialties Brescia25121 Italy Sncf Reseau Sa Ethique Groupe La Plaine93418 France Institute of Diagnostic and Interventional Radiology University Hospital Zurich Zürich8091 Switzerland Eindhoven University of Tech

This article's main contributions are twofold: 1) to demonstrate how to apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for trustworthy AI in practice for the domain of healthcare and 2) to investigate the research question of what does 'trustworthy AI' mean at the time of the COVID-19 pandemic. To this end, we present the results of a post-hoc self-assessment to evaluate the trustworthiness of an AI system for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients, developed and verified by an interdisciplinary team with members from academia, public hospitals, and industry in time of pandemic. The AI system aims to help radiologists to estimate and communicate the severity of damage in a patient's lung from Chest X-rays. It has been experimentally deployed in the radiology department of the ASST Spedali Civili clinic in Brescia, Italy, since December 2020 during pandemic time. The methodology we have applied for our post-hoc assessment, called Z-Inspection®, uses sociotechnical scenarios to identify ethical, technical, and domain-specific issues in the use of the AI system in the context of the pandemic. © 2020 IEEE.

关键词： COVID-19

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Spatial proteomics in three-dimensional intact specimens

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四川生理科学杂志 2022年第12期44卷 2202-2202页

作者： Harsharan Singh Bhatia Insititute for Tissue Engineering and Regenerative Medicine (iTERM) Helmholtz Zentrum München 85764 Neuherberg Germany Institute for Stroke and Dementia Research Klinikum der Universität München Ludwig-Maximilians University Munich 81377 Munich Germany Department for Proteomics and Signal Transduction Max Planck Institute of Biochemistry 82152 Martinsried Germany Boehringer Ingelheim Pharma GmbH & Co. KG Drug Discovery Sciences Birkendorfer Str. 65 D-88400 Biberach Riss Germany Graduate School of Neuroscience (GSN) 82152 Munich Germany Munich Cluster for Systems Neurology (SyNergy) 81377 Munich Germany Center for Translational Cancer Research (TranslaTUM) of the TUM 81675 Munich Germany Image-Based Biomedical Modeling Department of Informatics Technical University of Munich 85748 Garching Germany Helmholtz AI Helmholtz Zentrum München 85764 Neuherberg Germany Biomedical Image Analysis Group Department of Computing Imperial College London London SW7 2AZ UK Department for Quantitative Biomedicine University of Zurich 8006 Zurich Switzerland Department of Neuroradiology Klinikum rechts der Isar 81675 Munich Germany Munich Medical Research School (MMRS) 80336 Munich Germany Institute for Diabetes and Cancer Helmholz Zentrum München 85764 Neuherberg Germany Institute for Diabetes and Obesity Helmholz Zentrum München 85764 Neuherberg Germany German Center for Diabetes Research Helmholz Zentrum München 85764 Neuherberg Germany German Center for Neurodegenerative Diseases (DZNE) 81377 Munich Germany Neuroproteomics School of Medicine Klinikum Rechts der Isar Technical University of Munich 81675 Munich Germany Institute of Anatomy University of Leipzig 04109 Leipzig Germany Institute of Computational Biology Helmholz Zentrum München 85764 Neuherberg Germany TUM School of Life Sciences Weihenstephan Technical University of Munich 85354 Freising Germany Department of Mathematics Technical University of Munich 85748 Garching Germany NNF Center for Protein Res

Spatial molecular profiling of complex tissues is essential to investigate cellular function in physiological and pathological ***,methods for molecular analysis of large biological specimens imaged in 3D are ***,we present DISCO-MS,a technology that combines whole-organ/whole-organism clearing and imaging,deep-learning-based image analysis,robotic tissue extraction,and ultra-high-sensitivity mass spectrometry.

关键词： Spatial combine analysis

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Investigating Awareness and Potential Contributions of IoT in the East African Community - The viewpoints from Kenya, Rwanda and Tanzania students in Japan

Investigating Awareness and Potential Contributions of IoT i...

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International Conference on Applied System Innovation

作者： Bikorimana Emmanuel Butare Damascene Jimmy Sun Yi Department of Information Systems Graduate School of Information Technology Kobe Institute of Computing Japan

ISBN: (纸本)9781509048984

The internet of Things (IoT) is changing the way people work, behave, interact, study and believe through the interconnectivity and interoperability of human beings, digital devices and various systems. Nevertheless, the perception of IoT and its impact on the society, remains unexploited to some countries which are reluctant to adapt the technology. This paper investigates the viewpoints of master's program students from East African Community, in Japan, towards the awareness and potential contributions of IoT in their countries. The paper aims at contributing to the inspiration of further researches and studies from the region in the field of IoT technologies.

关键词： Internet of things East African Community IoT Awareness

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Patient identification using a near-infrared laser scanner

Patient identification using a near-infrared laser scanner

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SPIE Medical Imaging 2017

作者： Manit, Jirapong Bremer, Christina Schweikard, Achim Ernst, Floris Institute for Robotics and Cognitive Systems University of Lübeck Lübeck Germany Graduate School for Computing in Medicine and Life Sciences University of Lübeck Lübeck Germany University of Edinburgh Edinburgh United Kingdom

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Frame-based behavior preservation in refactoring 24

Frame-based behavior preservation in refactoring

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24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017

作者： Maruyama, Katsuhisa Hayashi, Shinpei Yoshida, Norihiro Choi, Eunjong Department of Computer Science Ritsumeikan University Japan Department of Computer Science Tokyo Institute of Technology Japan Center for Embedded Computing Systems Nagoya University Japan Graduate School of Information Science Nara Institute of Science and Technology Japan

ISBN: (纸本)9781509055012

Behavior preservation often bothers programmers in refactoring. This poster paper proposes a new approach that tames the behavior preservation by introducing the concept of a frame. A frame in refactoring defines stakeholder's individual concerns about the refactored code. Frame-based refactoring preserves the observable behavior within a particular frame. Therefore, it helps programmers distinguish the behavioral changes that they should observe from those that they can ignore. © 2017 IEEE.

关键词： Libraries Registers Computer science Testing Stakeholders Embedded computing Information science

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Expanding the horizon of automated metamaterials discovery via quantum annealing

arXiv

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arXiv 2019年

作者： Kitai, Koki Guo, Jiang Ju, Shenghong Tanaka, Shu Tsuda, Koji Shiomi, Junichiro Tamura, Ryo Graduate School of Frontier Sciences University of Tokyo Chiba277-8568 Japan Department of Mechanical Engineering University of Tokyo Tokyo113-8654 Japan Research and Services Division of Materials Data and Integrated System National Institute for Materials Science Ibaraki305-0047 Japan Green Computing Systems Research Organization Waseda University Tokyo162-0042 Japan JST PRESTO Saitama332-0012 Japan RIKEN Center for Advanced Intelligence Project Tokyo103-0027 Japan International Center for Materials Nanoarchitectonics National Institute for Materials Science Ibaraki305-0044 Japan

Complexity of materials designed by machine learning is currently limited by the inefficiency of classical computers. We show how quantum annealing can be incorporated into automated materials discovery and conduct a proof-of-principle study on designing complex thermofunctional metamaterials consisting of SiO2, SiC, and Poly(methyl methacrylate). Empirical computing time of our quantum-classical hybrid algorithm involving a factorization machine, a rigorous coupled wave analysis, and a D-Wave 2000Q quantum annealer was insensitive to the problem size, while a classical counterpart experienced rapid increase. Our method was used to design complex structures of wavelength selective radiators showing much better concordance with the thermal atmospheric transparency window in comparison to existing human-designed alternatives. Our result shows that quantum annealing provides scientists gigantic computational power that may change how materials are designed. Copyright © 2019, The Authors. All rights reserved.

关键词： Metamaterials

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Fast deformation of shocked quartz and implications for planar deformation features observed in shocked quartz

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AIP Conference Proceedings 2020年第1期2272卷

作者： Toshimori Sekine Tomoko Sato Norimasa Ozaki Kohei Miyanishi Ryosuke Kodama Yusuke Seto Yoshinori Tange Subodh C. Tiwari Aiichiro Nakano Priya Vashishta Center for High Pressure Science & Technology Advanced Research Shanghai 201203 China Graduate School of Engineering Osaka University Suita 565-0871 Japan Department of Earth & Planetary Systems Science Hiroshima University Higashi-Hiroshima 739-8526 Japan Graduate School of Science Kobe University Kobe 657-8501 Japan Japan Synchrotron Radiation Research Institute JASRI Sayo-cho Hyogo 679-5198 Japan Collaboratory for Advanced Computing & Simulations Department of Physics & Astronomy Department of Computer Science Department of Chemical Engineering and Materials Science and Department of Biological Science University of Southern California Los Angeles CA 90089–0242 USA

Fast deformations in the quartz crystals during shock compression process have been investigated with two time-resolved methods of in-situ diffractions by x-ray free electron laser (XFEL) and large-scale molecular dynamic (MD) simulations in order to get insights in planar deformation feature (PDF) mechanism. PDFs in quartz provide strong evidence for impact and are used to estimate the impact conditions. The present experimental results on X-cut and Y-cut quartz single crystals at pressures below phase transition indicate ideal uniaxial compression and rotation of fractured grains to a direction to heat up locally due to dispersed particle velocity distribution in the dynamic movement. This could explain the observed disordering at given planes, as supported by the MD simulations.

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Ultrafast quantum-path interferometry revealing the generation process of coherent phonons

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Physical Review B 2019年第18期99卷 180301(R)-180301(R)页

作者： Kazutaka G. Nakamura Kensuke Yokota Yuki Okuda Rintaro Kase Takashi Kitashima Yu Mishima Yutaka Shikano Yosuke Kayanuma Laboratory for Materials and Structures Institute of Innovative Research Tokyo Institute of Technology 4259 Nagatsuta Yokohama 226-8503 Japan Quantum Computing Center Keio University 3-14-1 Gakuen-cho Yokohama 223-8522 Japan Research Center for Advanced Science and Technology (RCAST) The University of Tokyo 4-6-1 Komaba Meguro Tokyo 153-8904 Japan Research Center of Integrative Molecular Systems (CIMoS) Institute for Molecular Science National Institutes of Natural Sciences 38 Nishigo-Naka Myodaiji Okazaki Aichi 444-8585 Japan Institute for Quantum Studies Chapman University 1 University Dr. Orange California 92866 USA Graduate School of Sciences Osaka Prefecture University 1-1 Gakuen-cho Sakai Osaka 599-8531 Japan

Optical dual-pulse pumping actively creates quantum-mechanical superposition of the electronic and phononic states in a bulk solid. We here made transient reflectivity measurements in an n-GaAs using a pair of relative-phase-locked femtosecond pulses and found characteristic interference fringes. This is a result of quantum-path interference peculiar to the dual-pulse excitation as indicated by theoretical calculation. Our observation reveals that the pathway of coherent phonon generation in the n-GaAs is impulsive stimulated Raman scattering at the displaced potential due to the surface-charge field, even though the photon energy lies in the opaque region.

关键词： Optical phonons Quantum interference effects

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Publisher Correction: A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images

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Scientific reports 2020年第1期10卷 8591页

作者： Zichao Guo Hong Liu Haomiao Ni Xiangdong Wang Mingming Su Wei Guo Kuansong Wang Taijiao Jiang Yueliang Qian Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China. Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China. hliu@***. Research Center for Big Data of Biomedical Sciences Institute of Basic Medical Sciences Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 100005 China. Suzhou Institute of Systems Medicine Suzhou 215123 China. Graduate School of Peking Union Medical College Beijing 100005 China. Department of Pathology Xiangya Hospital Central South University Changsha Hunan 410013 China. Department of Pathology School of Basic Medical Sciences Central South University Changsha Hunan 410013 China. Department of Pathology Xiangya Hospital Central South University Changsha Hunan 410013 China. ***@***. Department of Pathology School of Basic Medical Sciences Central South University Changsha Hunan 410013 China. ***@***. Research Center for Big Data of Biomedical Sciences Institute of Basic Medical Sciences Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 100005 China. taijiao@***. Suzhou Institute of Systems Medicine Suzhou 215123 China. taijiao@***.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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GLOBAL CLIMATE

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Bulletin of the American Meteorological Society 2024年第8期105卷 S12-S155页

作者： Dunn, R.J.H. Blannin, J. Gobron, N. Miller, J.B. Willett, K.M. Met Office Hadley Centre Exeter United Kingdom European Commission Joint Research Centre Ispra Italy NOAA Global Monitoring Laboratory Boulder Colorado European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland European Centre for Medium-Range Weather Forecasts Bonn Germany Department of Meteorology and National Centre for Earth Observation University of Reading Reading United Kingdom Hampton University Hampton Virginia National Research Institute for Agriculture Food and Environment (INRAE) CARRTEL Université Savoie Mont Blanc Thonon les Bains France Graduate School of Agriculture Osaka Metropolitan University Sakai Japan NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina Science Faculty Universidad Nacional de Colombia Bogotá Colombia University of Bremen Bremen Germany Centro de Investigaciones sobre Desertificación – Spanish National Research Council (CSIC-UV-GVA) Valencia Spain Hydro-Climate Extremes Lab (H-CEL) Ghent University Ghent Belgium Laboratoire des Sciences du Climat et de l’Environnement (LSCE) LSCE/IPSL CEA-CNRS-UVSQ Gif-sur-Yvette France Instituto de Geografía Pontificia Universidad Católica de Valparaíso Valparaíso Chile Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia University of Reading Reading United Kingdom Institute Pierre Simon Laplace (IPSL) Guyancourt France School of Engineering Newcastle University Newcastle-upon-Tyne United Kingdom Université Paris Cité Institut de physique du globe de Paris CNRS IGN F-75005 Paris France Univ Gustave Eiffel ENSG IGN F-77455 Marne-la-Vallée France Laboratoire EDYTEM CNRS/Université Savoie Mont-Blanc Le Bourget-du-Lac France Global Modeling and Assimilation Office NASA Goddard Space Flight Center Greenbelt Maryland Universität Hamburg Hamburg Germany Climate Dynamics Lab University of St Andrews St Andrews United Kingdom Ea

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