المؤلفون: Du R; Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.; Artificial Intelligence Lab, Head Office Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China., Tsougenis ED; Artificial Intelligence Lab, Head Office Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China., Ho JWK; The School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China., Chan JKY; Clinical Systems, Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China., Chiu KWH; Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China., Fang BXH; Department of Radiology, Queen Mary Hospital, Hong Kong, SAR, China., Ng MY; Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.; Department of Medical Imaging, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China., Leung ST; Department of Radiology, Pamela Youde Nethersole Eastern Hospital, Hong Kong, SAR, China., Lo CSY; Department of Radiology, Hong Kong Sanatorium & Hospital, Hong Kong, SAR, China., Wong HF; Department of Radiology, Queen Mary Hospital, Hong Kong, SAR, China., Lam HS; Department of Radiology, Queen Mary Hospital, Hong Kong, SAR, China., Chiu LJ; Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, SAR, China., So TY; Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China., Wong KT; Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong, SAR, China., Wong YCI; Department of Radiology, Tuen Muen Hospital, Hong Kong, SAR, China., Yu K; Department of Radiology, Tuen Muen Hospital, Hong Kong, SAR, China., Yeung YC; Department of Medicine, Princess Margaret Hospital, Hong Kong, SAR, China., Chik T; Department of Medicine, Princess Margaret Hospital, Hong Kong, SAR, China., Pang JWK; Health Informatics, Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China., Wai AK; Emergency Medicine Unit, Li Ka Shing, Faculty of Medicine, The University of Hong Kong, Hong Kong, China., Kuo MD; Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China., Lam TPW; Department of Radiology, Queen Mary Hospital, Hong Kong, SAR, China., Khong PL; Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China., Cheung NT; Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China., Vardhanabhuti V; Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China. varv@hku.hk.

المصدر: Scientific reports [Sci Rep] 2021 Jul 09; Vol. 11 (1), pp. 14250. Date of Electronic Publication: 2021 Jul 09.

نوع المنشور: Clinical Trial; Journal Article; Multicenter Study

بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

مواضيع طبية MeSH: COVID-19*/blood , COVID-19*/diagnostic imaging , COVID-19 Testing* , Machine Learning* , Models, Biological*, SARS-CoV-2/*metabolism, Adolescent ; Adult ; Biomarkers/blood ; Female ; Humans ; Male ; Middle Aged ; Predictive Value of Tests ; Retrospective Studies ; Thorax/diagnostic imaging

المؤلفون: Chiu WHK; Medical Artificial Intelligence Laboratory Program (MAIL), Department of Diagnostic Radiology, LKS Faculty of Medicine., Vardhanabhuti V; Medical Artificial Intelligence Laboratory Program (MAIL), Department of Diagnostic Radiology, LKS Faculty of Medicine., Poplavskiy D; Ensemble-group.com, Scottsdale, AZ., Yu PLH; Department of Statistics and Actuarial Sciences., Du R; Department of Diagnostic Radiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR., Yap AYH; Medical Artificial Intelligence Laboratory Program (MAIL), Department of Diagnostic Radiology, LKS Faculty of Medicine., Zhang S; Department of Diagnostic Radiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR., Fong AH; Department of Diagnostic Radiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR., Chin TW; Department of Radiology and Imaging, Queen Elizabeth Hospital., Lee JCY; Department of Radiology and Imaging, Queen Elizabeth Hospital., Leung ST; Department of Radiology, Pamela Youde Nethersole Eastern Hospital., Lo CSY; Department of Radiology, Queen Mary Hospital., Lui MM; Department of Medicine, Queen Mary Hospital, Hong Kong, Hong Kong SAR., Fang BXH; Department of Radiology, Queen Mary Hospital., Ng MY; Medical Artificial Intelligence Laboratory Program (MAIL), Department of Diagnostic Radiology, LKS Faculty of Medicine., Kuo MD; Medical Artificial Intelligence Laboratory Program (MAIL), Department of Diagnostic Radiology, LKS Faculty of Medicine.; Ensemble-group.com, Scottsdale, AZ.

المصدر: Journal of thoracic imaging [J Thorac Imaging] 2020 Nov 01; Vol. 35 (6), pp. 369-376.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 8606160 Publication Model: Print Cited Medium: Internet ISSN: 1536-0237 (Electronic) Linking ISSN: 08835993 NLM ISO Abbreviation: J Thorac Imaging Subsets: MEDLINE

مواضيع طبية MeSH: Deep Learning*, COVID-19/*diagnostic imaging , Lung/*diagnostic imaging , Radiographic Image Interpretation, Computer-Assisted/*methods , Radiography, Thoracic/*methods, Adult ; Aged ; Algorithms ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; SARS-CoV-2 ; Sensitivity and Specificity ; Young Adult

المؤلفون: Mok MMY; Division of Nephrology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong. Electronic address: maggiemymok@gmail.com., Fang BXH; Department of Radiology, Queen Mary Hospital, University of Hong Kong, Hong Kong., Choy BY; Division of Nephrology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong., Chan TM; Division of Nephrology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong.

المصدر: Journal of the Formosan Medical Association = Taiwan yi zhi [J Formos Med Assoc] 2017 Nov; Vol. 116 (11), pp. 910-911. Date of Electronic Publication: 2017 May 08.

نوع المنشور: Case Reports; Journal Article

بيانات الدورية: Publisher: Formosan Medical Association, Elsevier Country of Publication: Singapore NLM ID: 9214933 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 0929-6646 (Print) Linking ISSN: 09296646 NLM ISO Abbreviation: J Formos Med Assoc Subsets: MEDLINE

مواضيع طبية MeSH: Aspergillosis/*complications , Bell Palsy/*etiology , Rhinitis/*microbiology , Sinusitis/*microbiology, Aged ; Antifungal Agents/therapeutic use ; Aspergillosis/therapy ; Aspergillus ; Debridement ; Humans ; Kidney Transplantation ; Liver Transplantation ; Magnetic Resonance Imaging ; Male ; Rhinitis/diagnostic imaging ; Rhinitis/therapy ; Sinusitis/diagnostic imaging ; Sinusitis/surgery