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


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Tytuł :
Design and Development of an AIoT Architecture for Introducing a Vessel ETA Cognitive Service in a Legacy Port Management Solution.
Autorzy :
Valero CI; Communications Department, Universitat Politècnica de València, 46022 Valencia, Spain.
Ivancos Pla E; Prodevelop S.L., 46003 Valencia, Spain.
Vaño R; Communications Department, Universitat Politècnica de València, 46022 Valencia, Spain.
Garro E; Prodevelop S.L., 46003 Valencia, Spain.
Boronat F; Communications Department, Universitat Politècnica de València, 46022 Valencia, Spain.
Palau CE; Communications Department, Universitat Politècnica de València, 46022 Valencia, Spain.
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Źródło :
Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Dec 05; Vol. 21 (23). Date of Electronic Publication: 2021 Dec 05.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Internet of Things*
Cognition ; Technology
Czasopismo naukowe
Tytuł :
A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study.
Autorzy :
Hwang J; Looxid Labs, Seoul, Republic of Korea.
Lee T; Looxid Labs, Seoul, Republic of Korea.
Lee H; Looxid Labs, Seoul, Republic of Korea.
Byun S; Department of Neuropsychiatry, Uijeongbu St Mary's Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu-si, Republic of Korea.
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Źródło :
Journal of medical Internet research [J Med Internet Res] 2022 Jan 19; Vol. 24 (1), pp. e28659. Date of Electronic Publication: 2022 Jan 19.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Artificial Intelligence*
Decision Support Systems, Clinical*
Humans ; Reproducibility of Results ; Sleep ; User-Centered Design
Czasopismo naukowe
Tytuł :
Hazards for the Implementation and Use of Artificial Intelligence Enabled Digital Health Interventions, a UK Perspective.
Autorzy :
Harrison S; Institute of Digital Healthcare, WMG, University of Warwick, UK.
Despotou G; Institute of Digital Healthcare, WMG, University of Warwick, UK.
Arvanitis TN; Institute of Digital Healthcare, WMG, University of Warwick, UK.
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Źródło :
Studies in health technology and informatics [Stud Health Technol Inform] 2022 Jan 14; Vol. 289, pp. 14-17.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Delivery of Health Care*
Diagnostic Tests, Routine ; Software ; United Kingdom
Czasopismo naukowe
Tytuł :
Artificial Intelligence Models for Heart Chambers Segmentation from 2D Echocardiographic Images: A Scoping Review.
Autorzy :
Al Kindi D; College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.; Department of Cardiology, Heart Hospital, Hamad Medical Corporation, Doha, Qatar.
Househ M; College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Alam T; College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Shah Z; College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
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Źródło :
Studies in health technology and informatics [Stud Health Technol Inform] 2022 Jan 14; Vol. 289, pp. 264-267.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Neural Networks, Computer*
Echocardiography ; Image Processing, Computer-Assisted ; Machine Learning
Czasopismo naukowe
Tytuł :
Contribution of Artificial Intelligence in Pregnancy: A Scoping Review.
Autorzy :
Abuelezz I; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Hassan A; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Jaber BA; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Sharique M; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Abd-Alrazaq A; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Househ M; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Alam T; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Shah Z; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
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Źródło :
Studies in health technology and informatics [Stud Health Technol Inform] 2022 Jan 14; Vol. 289, pp. 333-336.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Delivery of Health Care*
Female ; Health Facilities ; Humans ; Pregnancy
Czasopismo naukowe
Tytuł :
Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review.
Autorzy :
Chew HSJ; Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Achananuparp P; Living Analytics Research Centre, Singapore Management University, Singapore, Singapore.
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Źródło :
Journal of medical Internet research [J Med Internet Res] 2022 Jan 14; Vol. 24 (1), pp. e32939. Date of Electronic Publication: 2022 Jan 14.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Review; Systematic Review
MeSH Terms :
Artificial Intelligence*
Delivery of Health Care*
Adult ; Aged ; Chronic Disease ; Community Health Services ; Humans ; Male ; Mental Health ; Middle Aged
Czasopismo naukowe
Tytuł :
Trustworthy Augmented Intelligence in Health Care.
Autorzy :
Crigger E; American Medical Association, 330 North Wabash, Chicago, Il, 60611, US. .
Reinbold K; American Medical Association, 330 North Wabash, Chicago, Il, 60611, US.
Hanson C; American Medical Association, 330 North Wabash, Chicago, Il, 60611, US.
Kao A; American Medical Association, 330 North Wabash, Chicago, Il, 60611, US.
Blake K; American Medical Association, 330 North Wabash, Chicago, Il, 60611, US.
Irons M; American Medical Association, 330 North Wabash, Chicago, Il, 60611, US.
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Źródło :
Journal of medical systems [J Med Syst] 2022 Jan 12; Vol. 46 (2), pp. 12. Date of Electronic Publication: 2022 Jan 12.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Physicians*
Delivery of Health Care ; Humans ; Intelligence ; Technology
Czasopismo naukowe
Tytuł :
Personal identification with artificial intelligence under COVID-19 crisis: a scoping review.
Autorzy :
Matsuda S; Department of Dentistry and Oral Surgery, Unit of Sensory and Locomotor Medicine, Division of Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, 910-1193, Fukui, Japan. .
Yoshimura H; Department of Dentistry and Oral Surgery, Unit of Sensory and Locomotor Medicine, Division of Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, 910-1193, Fukui, Japan.
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Źródło :
Systematic reviews [Syst Rev] 2022 Jan 06; Vol. 11 (1), pp. 7. Date of Electronic Publication: 2022 Jan 06.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Review; Systematic Review
MeSH Terms :
Artificial Intelligence*
COVID-19*
Humans ; Pandemics ; Publications ; SARS-CoV-2
Czasopismo naukowe
Tytuł :
The Effectiveness of Semi-Automated and Fully Automatic Segmentation for Inferior Alveolar Canal Localization on CBCT Scans: A Systematic Review.
Autorzy :
Issa J; Department of Biomaterials and Experimental Dentistry, Poznań University of Medical Sciences, Bukowska 70, 60-812 Poznań, Poland.
Olszewski R; Department of Oral and Maxilofacial Surgery, Cliniques Universitaires Saint Luc, UCLouvain, Av. Hippocrate 10, 1200 Brussels, Belgium.; Oral and Maxillofacial Surgery Research Lab (OMFS Lab), NMSK, Institut de Recherche Experimentale et Clinique, UCLouvain, Louvain-la-Neuve, 1348 Brussels, Belgium.
Dyszkiewicz-Konwińska M; Department of Biomaterials and Experimental Dentistry, Poznań University of Medical Sciences, Bukowska 70, 60-812 Poznań, Poland.
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Źródło :
International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Jan 04; Vol. 19 (1). Date of Electronic Publication: 2022 Jan 04.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Review; Systematic Review
MeSH Terms :
Artificial Intelligence*
Spiral Cone-Beam Computed Tomography*
Algorithms ; Cone-Beam Computed Tomography ; Humans ; Mandibular Canal
Czasopismo naukowe
Tytuł :
A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation.
Autorzy :
Ko H; Department of Biomedical Engineering, Kyung Hee University, Yongin-si, Republic of Korea.
Huh J; The Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.
Kim KW; Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.; Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Chung H; Department of Biomedical Engineering, Kyung Hee University, Yongin-si, Republic of Korea.
Ko Y; Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.
Kim JK; The Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.
Lee JH; The Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.
Lee J; Department of Biomedical Engineering, Kyung Hee University, Yongin-si, Republic of Korea.
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Źródło :
Journal of medical Internet research [J Med Internet Res] 2022 Jan 03; Vol. 24 (1), pp. e34415. Date of Electronic Publication: 2022 Jan 03.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Artificial Intelligence*
Deep Learning*
Algorithms ; Ascites/diagnostic imaging ; Emergency Service, Hospital ; Humans ; Tomography, X-Ray Computed
Czasopismo naukowe
Tytuł :
Artificial intelligence in radiology: Are Saudi residents ready, prepared, and knowledgeable?
Autorzy :
Khafaji MA; From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
Safhi MA; From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
Albadawi RH; From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
Al-Amoudi SO; From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
Shehata SS; From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
Toonsi F; From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
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Źródło :
Saudi medical journal [Saudi Med J] 2022 Jan; Vol. 43 (1), pp. 53-60.
Typ publikacji :
Journal Article; Observational Study
MeSH Terms :
Artificial Intelligence*
Radiology*
Cross-Sectional Studies ; Humans ; Radiologists ; Saudi Arabia
Czasopismo naukowe
Tytuł :
Artificial Intelligence and Positron Emission Tomography Imaging Workflow:: Technologists' Perspective.
Autorzy :
Beegle C; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 1C455, Bethesda, MD 20892, USA.
Hasani N; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 1C455, Bethesda, MD 20892, USA; University of Queensland Faculty of Medicine, Ochsner Clinical School, New Orleans, LA 70121, USA.
Maass-Moreno R; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 1C455, Bethesda, MD 20892, USA.
Saboury B; Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 1C455, Bethesda, MD 20892, USA; Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore Country, Baltimore, MD, USA; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA. Electronic address: .
Siegel E; Department of Radiology and Nuclear Medicine, University of Maryland Medical Center, 655 W. Baltimore Street, Baltimore, MD 21201, USA. Electronic address: .
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Źródło :
PET clinics [PET Clin] 2022 Jan; Vol. 17 (1), pp. 31-39.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Nuclear Medicine*
Humans ; Positron-Emission Tomography ; Workflow
Czasopismo naukowe

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