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Wyszukujesz frazę ""Artificial Intelligence"" wg kryterium: Temat


Tytuł :
[Research on Current Situation of Quality Management of Artificial Intelligence Medical Device Enterprises].
Autorzy :
Liu Y; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191.; Beijing Beiling Special Purpose Vehicle Co. Ltd., Beijing, 101500.
Wang H; Institute for Medical Devices Control, National Institutes for Food and Drug Control, Beijing, 102629.
Li S; Institute for Medical Devices Control, National Institutes for Food and Drug Control, Beijing, 102629.
Zhang W; China National Medical Device Co. Ltd., Beijing 100028.
Fan Y; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191. E-mail:.; Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Chinese Education Ministry, Beijing, 100191.; School of Engineering Medicine, Beihang University, Beijing, 100191.
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Źródło :
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation [Zhongguo Yi Liao Qi Xie Za Zhi] 2021 Apr 08; Vol. 45 (2), pp. 194-199.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Software*
Quality Control ; Reference Standards
Czasopismo naukowe
Tytuł :
Comparison of multi-criteria and artificial intelligence models for land-subsidence susceptibility zonation.
Autorzy :
Arabameri A; Department of Geomorphology, Tarbiat Modares University, Tehran, 14117-13116, Iran. Electronic address: .
Chandra Pal S; Department of Geography, The University of Burdwan, West Bengal, 713104, India. Electronic address: .
Rezaie F; Geoscience Platform Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), 124, Gwahak-ro Yuseong-gu, Daejeon, 34132, Republic of Korea; Korea University of Science and Technology, 217 Gajeong-roYuseong-gu, Daejeon, 34113, Republic of Korea.
Chakrabortty R; Department of Geography, The University of Burdwan, West Bengal, 713104, India. Electronic address: .
Chowdhuri I; Department of Geography, The University of Burdwan, West Bengal, 713104, India. Electronic address: .
Blaschke T; Department of Geoinformatics - Z_GIS, University of Salzburg, 5020, Salzburg, Austria. Electronic address: .
Thi Ngo PT; Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam. Electronic address: .
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Źródło :
Journal of environmental management [J Environ Manage] 2021 Apr 15; Vol. 284, pp. 112067. Date of Electronic Publication: 2021 Feb 05.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Bayes Theorem ; Iran ; ROC Curve
Czasopismo naukowe
Tytuł :
Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools.
Autorzy :
Saboe D; The Polytechnic School, Ira A. Fulton Schools of Engineering, Arizona State University, 7171 E. Sonoran Arroyo Mall, Mesa, AZ 85212, United States of America.
Ghasemi H; School of Computing, Informatics and Decision Systems Engineering, Ira A. Fulton Schools of Engineering, Arizona State University, 699 S. Mill Ave., Tempe, AZ 85281, United States of America.
Gao MM; The Polytechnic School, Ira A. Fulton Schools of Engineering, Arizona State University, 7171 E. Sonoran Arroyo Mall, Mesa, AZ 85212, United States of America.
Samardzic M; VizLore Labs, Braće Ribnikar 56, Novi Sad 403529, Serbia.
Hristovski KD; The Polytechnic School, Ira A. Fulton Schools of Engineering, Arizona State University, 7171 E. Sonoran Arroyo Mall, Mesa, AZ 85212, United States of America. Electronic address: .
Boscovic D; School of Computing, Informatics and Decision Systems Engineering, Ira A. Fulton Schools of Engineering, Arizona State University, 699 S. Mill Ave., Tempe, AZ 85281, United States of America.
Burge SR; Burge Environmental Inc., 6100 S. Maple Avenue Suite 114, Tempe, AZ 85283, United States of America.
Burge RG; Burge Environmental Inc., 6100 S. Maple Avenue Suite 114, Tempe, AZ 85283, United States of America.
Hoffman DA; Burge Environmental Inc., 6100 S. Maple Avenue Suite 114, Tempe, AZ 85283, United States of America.
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Źródło :
The Science of the total environment [Sci Total Environ] 2021 Apr 10; Vol. 764, pp. 142876. Date of Electronic Publication: 2020 Oct 10.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Water Quality*
Arizona ; Environmental Monitoring ; Machine Learning
Czasopismo naukowe
Tytuł :
Artificial Intelligence-Based Prediction of Covid-19 Severity on the Results of Protein Profiling.
Autorzy :
Yaşar Ş; Inonu University, Faculty of Medicine, Department of Biostatistics and Medical Informatics, Malatya, Turkey.
Çolak C; Inonu University, Faculty of Medicine, Department of Biostatistics and Medical Informatics, Malatya, Turkey.
Yoloğlu S; Inonu University, Faculty of Medicine, Department of Biostatistics and Medical Informatics, Malatya, Turkey.
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Źródło :
Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2021 Apr; Vol. 202, pp. 105996. Date of Electronic Publication: 2021 Feb 15.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Protein Array Analysis*
COVID-19/*physiopathology
Aged ; Deep Learning ; Female ; Forecasting ; Humans ; Male ; Middle Aged ; SARS-CoV-2
Czasopismo naukowe
Tytuł :
Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs.
Autorzy :
Leite AF; OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven, KU Leuven, Kapucijnenvoer 33, 3000, Leuven, Belgium. .; Department of Dentistry, Faculty of Health Sciences, Campus Universitario Darcy Ribeiro, University of Brasília, Brasília, 70910-900, Brazil. .
Gerven AV; Relu, Innovatie-en incubatiecentrum KU Leuven, Leuven, Belgium.
Willems H; Relu, Innovatie-en incubatiecentrum KU Leuven, Leuven, Belgium.
Beznik T; Relu, Innovatie-en incubatiecentrum KU Leuven, Leuven, Belgium.
Lahoud P; OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven, KU Leuven, Kapucijnenvoer 33, 3000, Leuven, Belgium.
Gaêta-Araujo H; OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven, KU Leuven, Kapucijnenvoer 33, 3000, Leuven, Belgium.; Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, São Paulo, Brazil.
Vranckx M; OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven, KU Leuven, Kapucijnenvoer 33, 3000, Leuven, Belgium.
Jacobs R; OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven, KU Leuven, Kapucijnenvoer 33, 3000, Leuven, Belgium.; Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.
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Źródło :
Clinical oral investigations [Clin Oral Investig] 2021 Apr; Vol. 25 (4), pp. 2257-2267. Date of Electronic Publication: 2020 Aug 26.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Tooth*
Molar ; Neural Networks, Computer ; Radiography, Panoramic
Czasopismo naukowe
Tytuł :
Application of Artificial Intelligence to Address Issues Related to the COVID-19 Virus.
Autorzy :
Senthilraja M; Department of Pharmaceutical Chemistry, J.K.K. Nattraja College of Pharmacy, Komarapalayam, Tamil Nadu, India.
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Źródło :
SLAS technology [SLAS Technol] 2021 Apr; Vol. 26 (2), pp. 123-126. Date of Electronic Publication: 2021 Jan 04.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
COVID-19*/diagnosis
COVID-19*/prevention & control
COVID-19*/therapy
Decision Making, Computer-Assisted*
SARS-CoV-2*
Algorithms ; Humans ; Neural Networks, Computer
Czasopismo naukowe
Tytuł :
Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs.
Autorzy :
Li MD; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Little BP; Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Alkasab TK; Division of Emergency Radiology, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Mendoza DP; Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Succi MD; Division of Emergency Radiology, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Medically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Massachusetts General Hospital, Boston, Massachusetts.
Shepard JO; Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Lev MH; Division of Emergency Radiology, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Kalpathy-Cramer J; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.. Electronic address: .
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Źródło :
Academic radiology [Acad Radiol] 2021 Apr; Vol. 28 (4), pp. 572-576. Date of Electronic Publication: 2021 Jan 18.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Artificial Intelligence*
COVID-19*
Humans ; Lung ; Radiography, Thoracic ; Radiologists ; Retrospective Studies ; SARS-CoV-2 ; Severity of Illness Index
Czasopismo naukowe
Tytuł :
[Application and progress of artificial intelligence in endoscopic diagnosis of superficial esophageal cancer].
Autorzy :
Wang SX; Department of Endoscope, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Ke Y; Department of Endoscope, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Wang GQ; Department of Endoscope, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
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Źródło :
Zhonghua zhong liu za zhi [Chinese journal of oncology] [Zhonghua Zhong Liu Za Zhi] 2021 Mar 23; Vol. 43 (3), pp. 289-292.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Esophageal Neoplasms*/diagnosis
China ; Endoscopy ; Humans
Czasopismo naukowe
Tytuł :
Artificial Intelligence-Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development.
Autorzy :
Santus E; Division of Decision Science and Advanced Analytics, Bayer Pharmaceuticals, Whippany, NJ, United States.; The Women's Brain Project, Zurich, Switzerland.
Marino N; The Women's Brain Project, Zurich, Switzerland.; Department of Medical and Surgical Sciences, Università degli Studi di Foggia, Foggia, Italy.
Cirillo D; The Women's Brain Project, Zurich, Switzerland.; Barcelona Supercomputing Center, Barcelona, Spain.
Chersoni E; Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).
Montagud A; Barcelona Supercomputing Center, Barcelona, Spain.
Santuccione Chadha A; The Women's Brain Project, Zurich, Switzerland.; Biogen International GmbH, Baar, Switzerland.
Valencia A; Barcelona Supercomputing Center, Barcelona, Spain.; Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain.
Hughes K; Massachusetts General Hospital, Boston, MA, United States.
Lindvall C; Dana-Farber Cancer Institute, Boston, MA, United States.; Harvard Medical School, Boston, MA, United States.
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Źródło :
Journal of medical Internet research [J Med Internet Res] 2021 Mar 12; Vol. 23 (3), pp. e22453. Date of Electronic Publication: 2021 Mar 12.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
COVID-19/*therapy
Precision Medicine/*methods
Humans ; Pandemics ; Research ; SARS-CoV-2/isolation & purification
Czasopismo naukowe
Tytuł :
A Knowledge-Based Algorithm for Automatic Monitoring of Orthodontic Treatment: The Dental Monitoring System. Two Cases.
Autorzy :
Caruso S; Department of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Caruso S; Department of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Pellegrino M; Private Practice in Dentistry, 81100 Caserta, Italy.
Skafi R; Private Practice in Dentistry, 75001 Paris, France.
Nota A; Dental School, Vita-Salute San Raffaele University and IRCCS San Raffaele Hospital, 20132 Milano, Italy.
Tecco S; Dental School, Vita-Salute San Raffaele University and IRCCS San Raffaele Hospital, 20132 Milano, Italy.
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Źródło :
Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Mar 07; Vol. 21 (5). Date of Electronic Publication: 2021 Mar 07.
Typ publikacji :
Case Reports
MeSH Terms :
Artificial Intelligence*
Orthodontic Appliance Design*
Software*
Telemedicine*
Tooth Movement Techniques*
Adult ; COVID-19 ; Communicable Disease Control ; France ; Humans ; Pandemics
Raport
Tytuł :
Preferences for Artificial Intelligence Clinicians Before and During the COVID-19 Pandemic: Discrete Choice Experiment and Propensity Score Matching Study.
Autorzy :
Liu T; Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Tsang W; International School, Jinan University, Guangzhou, China.
Xie Y; International School, Jinan University, Guangzhou, China.
Tian K; Faculty of Social Sciences, University of Southampton, Southampton, United Kingdom.
Huang F; Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Chen Y; International School, Jinan University, Guangzhou, China.
Lau O; International School, Jinan University, Guangzhou, China.
Feng G; Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Du J; Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Chu B; Department of Applied Mathmatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.
Shi T; Faculty of Social Sciences, University of Southampton, Southampton, United Kingdom.
Zhao J; College of Computer Science and Technology, Henan Polytechnic University, Henan, China.
Cai Y; School of Applied Mathematics, Beijing Normal University (Zhuhai), Zhuhai, China.
Hu X; Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Akinwunmi B; Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, United States.; Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Huang J; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Zhang CJP; School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong.
Ming WK; Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
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Źródło :
Journal of medical Internet research [J Med Internet Res] 2021 Mar 02; Vol. 23 (3), pp. e26997. Date of Electronic Publication: 2021 Mar 02.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
COVID-19/*epidemiology
Adult ; Female ; Humans ; Male ; Pandemics ; Propensity Score ; Research Design ; SARS-CoV-2/isolation & purification
Czasopismo naukowe
Tytuł :
[The Application Value of Artificial Intelligence-based Filtering and Interpolated Image Reconstruction Algorithm in Abdominal Magnetic Resonance Image Denoising].
Autorzy :
Xu X; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Peng WL; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Zhang JG; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Liu KL; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Hu SX; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Zeng LM; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Xia CC; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Li ZL; Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
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Źródło :
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition [Sichuan Da Xue Xue Bao Yi Xue Ban] 2021 Mar; Vol. 52 (2), pp. 293-299.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Magnetic Resonance Imaging*
Algorithms ; Humans ; Image Processing, Computer-Assisted ; Retrospective Studies
Czasopismo naukowe
Tytuł :
[Digital Pathology: Current Status and Prospects of Clinical Application].
Autorzy :
Yao JG; Center of Telepathology, Guangzhou Da'an Clinical Laboratory Center, Guangzhou 510700, China.
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Źródło :
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition [Sichuan Da Xue Xue Bao Yi Xue Ban] 2021 Mar; Vol. 52 (2), pp. 156-161.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Telepathology*
Image Processing, Computer-Assisted
Czasopismo naukowe
Tytuł :
[New Trends of Development in Precision Pathological Diagnosis Promoted by Artificial Intelligence].
Autorzy :
Bu H; Institute of Clinical Pathology/Department of Pathology, West China Hospital, Sichuan University, Chengdu 610041, China.
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Źródło :
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition [Sichuan Da Xue Xue Bao Yi Xue Ban] 2021 Mar; Vol. 52 (2), pp. 153-155.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Precision Medicine*
Humans
Czasopismo naukowe
Tytuł :
[Pharma industry reinvents itself in the turmoil. Part 1. Challenges].
Autorzy :
Coucke PA; Service de Radiothérapie, CHU Liège, Belgique.
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Transliterated Title :
La médecine du futur. Dans la tourmente, l’industrie pharma se réinvente. Partie 1 : Les défis.
Źródło :
Revue medicale de Liege [Rev Med Liege] 2021 Mar; Vol. 76 (3), pp. 216-220.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Drug Industry*
Humans
Czasopismo naukowe
Tytuł :
Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence.
Autorzy :
Park SH; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. .
Choi J; Department of Biomedical Engineering, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Byeon JS; Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
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Źródło :
Korean journal of radiology [Korean J Radiol] 2021 Mar; Vol. 22 (3), pp. 442-453.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Review
MeSH Terms :
Artificial Intelligence*
Device Approval*
Insurance Coverage*
Area Under Curve ; Case-Control Studies ; Decision Making ; Delivery of Health Care ; Humans ; Lung Neoplasms/diagnosis ; ROC Curve
Czasopismo naukowe
Tytuł :
Association of AI quantified COVID-19 chest CT and patient outcome.
Autorzy :
Fang X; Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
Kruger U; Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
Homayounieh F; Department of Radiology, Massachusetts General Hospitals, Harvard Medical School, Boston, MA, 02114, USA.
Chao H; Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
Zhang J; Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
Digumarthy SR; Department of Radiology, Massachusetts General Hospitals, Harvard Medical School, Boston, MA, 02114, USA.
Arru CD; Department of Radiology, Massachusetts General Hospitals, Harvard Medical School, Boston, MA, 02114, USA.
Kalra MK; Department of Radiology, Massachusetts General Hospitals, Harvard Medical School, Boston, MA, 02114, USA. .
Yan P; Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA. .
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Źródło :
International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2021 Mar; Vol. 16 (3), pp. 435-445. Date of Electronic Publication: 2021 Jan 23.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
COVID-19/*diagnostic imaging
Thorax/*diagnostic imaging
Adult ; Aged ; Aged, 80 and over ; Databases, Factual ; Female ; Hospitalization ; Humans ; Lung/diagnostic imaging ; Male ; Middle Aged ; Neural Networks, Computer ; Pandemics ; Prognosis ; Retrospective Studies ; Severity of Illness Index ; Tomography, X-Ray Computed/methods ; Treatment Outcome
Czasopismo naukowe

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