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Wyświetlanie 21-40 z 10371
Tytuł:
Understanding the needs of women undergoing breast ultrasound: Are male radiologists still needed?
Autorzy:
Sartoretti, Elisabeth (AUTHOR)
Largiadèr, Selina (AUTHOR)
Sartoretti, Thomas (AUTHOR)
Laures, Simin (AUTHOR)
Walter, Martin Alexander (AUTHOR)
Monti, Eva (AUTHOR)
Füchsel, Ina (AUTHOR)
Dettling, Mira (AUTHOR)
Pfister, Stephan (AUTHOR)
Dubsky, Peter (AUTHOR)
Ort, Alexander (AUTHOR)
Sartoretti-Schefer, Sabine (AUTHOR)
Meissnitzer, Matthias (AUTHOR)
Hergan, Klaus (AUTHOR)
Forstner, Rosemarie (AUTHOR)
Matoori, Simon (AUTHOR)
Bech- Hohenberger, Rasmus (AUTHOR)
Froehlich, John M. (AUTHOR)
Plümecke, Tino (AUTHOR)
Harder, Dorothee (AUTHOR)
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Źródło:
PLoS ONE. 11/8/2023, Vol. 18 Issue 11, p1-11. 11p.
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Interpretable artificial intelligence-based app assists inexperienced radiologists in diagnosing biliary atresia from sonographic gallbladder images.
Autorzy:
Zhou W; Department of Medical Ultrasonics, Institute for Diagnostic and Interventional Ultrasound, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan Er Road, Guangzhou, 510080, People's Republic of China.
Ye Z; School of Computer Science and Engineering, Sun Yat-Sen University, No. 132, East Outer Ring Road, Guangzhou, 510006, People's Republic of China.
Huang G; Department of Medical Ultrasonics, Institute for Diagnostic and Interventional Ultrasound, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan Er Road, Guangzhou, 510080, People's Republic of China.
Zhang X; Department of Medical Ultrasonics, Institute for Diagnostic and Interventional Ultrasound, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan Er Road, Guangzhou, 510080, People's Republic of China.
Xu M; Department of Medical Ultrasonics, Institute for Diagnostic and Interventional Ultrasound, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan Er Road, Guangzhou, 510080, People's Republic of China.
Liu B; Department of Medical Ultrasonics, Institute for Diagnostic and Interventional Ultrasound, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan Er Road, Guangzhou, 510080, People's Republic of China.
Zhuang B; Department of Medical Ultrasonics, Institute for Diagnostic and Interventional Ultrasound, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan Er Road, Guangzhou, 510080, People's Republic of China.
Tang Z; Department of Ultrasound, Shenzhen Children's Hospital, No. 7019, Yitian Road, Futian District, Shenzhen, 518026, People's Republic of China.
Wang S; Department of Ultrasound, Shenzhen Children's Hospital, No. 7019, Yitian Road, Futian District, Shenzhen, 518026, People's Republic of China.
Chen D; Department of Ultrasound, Guangdong Women and Children's Hospital, No. 521 Xingnan Avenue, Panyu District, Guangzhou, 511400, People's Republic of China.
Pan Y; Department of Ultrasound, Guangdong Women and Children's Hospital, No. 521 Xingnan Avenue, Panyu District, Guangzhou, 511400, People's Republic of China.
Xie X; Department of Medical Ultrasonics, Institute for Diagnostic and Interventional Ultrasound, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan Er Road, Guangzhou, 510080, People's Republic of China.
Wang R; School of Computer Science and Engineering, Sun Yat-Sen University, No. 132, East Outer Ring Road, Guangzhou, 510006, People's Republic of China.
Zhou L; Department of Medical Ultrasonics, Institute for Diagnostic and Interventional Ultrasound, The First Affiliated Hospital, Sun Yat-Sen University, No. 58, Zhongshan Er Road, Guangzhou, 510080, People's Republic of China. .; Department of Ultrasound, Shenzhen Children's Hospital, No. 7019, Yitian Road, Futian District, Shenzhen, 518026, People's Republic of China. .
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Źródło:
BMC medicine [BMC Med] 2024 Jan 25; Vol. 22 (1), pp. 29. Date of Electronic Publication: 2024 Jan 25.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Mobile Applications*
Biliary Atresia*/diagnostic imaging
Infant ; Child ; Humans ; Gallbladder/diagnostic imaging ; Artificial Intelligence ; Retrospective Studies ; Radiologists
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
The importance of educational tools and a new software solution for visualizing and quantifying report correction in radiology training.
Autorzy:
Salhöfer L; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr. 55, 45147, Essen, Germany. .; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany. .
Haubold J; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr. 55, 45147, Essen, Germany.; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.
Gutt M; Central IT Services, University Hospital Essen, Essen, Germany.
Hosch R; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.
Umutlu L; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr. 55, 45147, Essen, Germany.
Meetschen M; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr. 55, 45147, Essen, Germany.; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.
Schuessler M; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr. 55, 45147, Essen, Germany.; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.
Forsting M; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr. 55, 45147, Essen, Germany.
Nensa F; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr. 55, 45147, Essen, Germany.; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.
Schaarschmidt BM; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstr. 55, 45147, Essen, Germany.
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Źródło:
Scientific reports [Sci Rep] 2024 Jan 12; Vol. 14 (1), pp. 1172. Date of Electronic Publication: 2024 Jan 12.
Typ publikacji:
Journal Article
MeSH Terms:
Internship and Residency*
Radiology*
Humans ; Female ; Adult ; Male ; Radiography ; Software ; Radiologists
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A Radiologist's Perspective on Musculoskeletal Tumors Multidisciplinary Team Meetings.
Autorzy:
Ustabaşıoğlu F; Department of Radiology, Trakya University School of Medicine, Edirne, Türkiye.
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Źródło:
Balkan medical journal [Balkan Med J] 2024 Jan 03; Vol. 41 (1), pp. 1-3.
Typ publikacji:
Journal Article
MeSH Terms:
Patient Care Team*
Neoplasms*
Humans ; Radiologists
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Chronic pulmonary aspergillosis - a guide for the general physician.
Autorzy:
Carter C; Registrar in respiratory medicine, Guy's and St Thomas' NHS Foundation Trust, London, UK. Electronic address: .
Kahai R; Respiratory dietitian, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Cunningham J; Pharmacist independent prescriber, Frimley Park NHS Foundation Trust, Frimley, UK.
Kilduff J; Physiotherapist in respiratory medicine, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Hough N; Consultant physician in respiratory medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Baxter C; Consultant physician in respiratory medicine, National Aspergillosis Centre, Manchester NHS Foundation Trust, Manchester, UK.
Connell D; Consultant physician in respiratory medicine, NHS Tayside, Dundee, UK.
Shah A; Consultant physician in respiratory medicine, Guy's and St Thomas' NHS Foundation Trust, London, UK, and MRC Centre of Global Infectious Disease Analysis, Imperial College London, London, UK.
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Źródło:
Clinical medicine (London, England) [Clin Med (Lond)] 2024 Jan; Vol. 24 (1), pp. 100019. Date of Electronic Publication: 2024 Jan 26.
Typ publikacji:
Journal Article; Review
MeSH Terms:
General Practitioners*
Pulmonary Aspergillosis*/diagnosis
Pulmonary Aspergillosis*/therapy
Humans ; Palliative Care ; Radiologists
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Segmentation of lung lobes and lesions in chest CT for the classification of COVID-19 severity.
Autorzy:
Khomduean P; Centre of Learning and Research in Celebration of HRH Princess Chulabhorn's 60th Birthday Anniversary, Chulabhorn Royal Academy, Bangkok, Thailand.; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.; Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand.
Phuaudomcharoen P; Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand.; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.; Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand.
Boonchu T; Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand.; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.; Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand.
Taetragool U; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Chamchoy K; Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand.
Wimolsiri N; Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand.
Jarrusrojwuttikul T; Queen Savang Vadhana Memorial Hospital, Chonburi, Thailand.; Faculty of Health Science Technology, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand.
Chuajak A; Queen Savang Vadhana Memorial Hospital, Chonburi, Thailand.; Faculty of Health Science Technology, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand.
Techavipoo U; Faculty of Health Science Technology, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand.
Tweeatsani N; Faculty of Health Science Technology, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand. .
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Źródło:
Scientific reports [Sci Rep] 2023 Nov 28; Vol. 13 (1), pp. 20899. Date of Electronic Publication: 2023 Nov 28.
Typ publikacji:
Journal Article
MeSH Terms:
COVID-19*/diagnostic imaging
Humans ; Tomography, X-Ray Computed ; Thorax ; Hospitals ; Radiologists ; Lung/diagnostic imaging
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Comparison between radiographers with sonography education working in remote Australia and radiologists' interpretation of ultrasound examinations.
Autorzy:
Williams I; Department of Medical Imaging and Radiation Sciences, Monash University, Clayton, VIC, 3800, Australia.
Baird M; Department of Medical Imaging and Radiation Sciences, Monash University, Clayton, VIC, 3800, Australia.
Schneider M; Department of Medical Imaging and Radiation Sciences, Monash University, Clayton, VIC, 3800, Australia.
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Źródło:
Journal of medical radiation sciences [J Med Radiat Sci] 2022 Sep; Vol. 69 (3), pp. 293-298. Date of Electronic Publication: 2022 Mar 16.
Typ publikacji:
Journal Article
MeSH Terms:
Clinical Competence*
Radiologists*
Health Personnel ; Humans ; Radiography ; Ultrasonography
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Evaluating Efficiency of Time Use and Operational Costs in a Breast Clinic Workflow: A Comparative Analysis Between Automated Breast Ultrasound and Handheld Ultrasound.
Autorzy:
Güldoğan, Nilgün
Ulus, Sıla
Kovan, Özge
Aksan, Aslıgül
Tokmakçıoğlu, Kaya
Akdağ, Hatice Camgöz
Yılmaz, Ebru
Türk, Ebru Banu
Arıbal, Erkin
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Źródło:
European Journal of Breast Health. Oct2023, Vol. 19 Issue 4, p311-317. 7p.
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Evaluation of remote radiologist-interpreted point-of-care ultrasound for suspected dengue patients in a primary health care facility in Colombia.
Autorzy:
Osorio, Lyda (AUTHOR)
Prieto, Iñigo (AUTHOR)
Zuluaga, Daniela (AUTHOR)
Ropero, Deliana (AUTHOR)
Dewan, Neelesh (AUTHOR)
Kirsch, Jonathan D. (AUTHOR)
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Źródło:
Infectious Diseases of Poverty. 9/28/2023, Vol. 12 Issue 1, p1-13. 13p.
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
The value of referral information and assessment - a cross sectional study of radiographers' perceptions.
Autorzy:
Chilanga CC; Department of Optometry, Radiography and Lighting Design, Faculty of Health and Social Sciences, University of South-Eastern Norway USN, Pb 235, 3603, Kongsberg, Norway. .
Olerud HM; Department of Optometry, Radiography and Lighting Design, Faculty of Health and Social Sciences, University of South-Eastern Norway USN, Pb 235, 3603, Kongsberg, Norway.
Lysdahl KB; Department of Optometry, Radiography and Lighting Design, Faculty of Health and Social Sciences, University of South-Eastern Norway USN, Pb 235, 3603, Kongsberg, Norway.
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Źródło:
BMC health services research [BMC Health Serv Res] 2022 Jul 09; Vol. 22 (1), pp. 893. Date of Electronic Publication: 2022 Jul 09.
Typ publikacji:
Journal Article
MeSH Terms:
Radiologists*
Radiology*/education
Cross-Sectional Studies ; Humans ; Referral and Consultation ; Reproducibility of Results
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Evaluating the performance of generative adversarial network-synthesized periapical images in classifying C-shaped root canals.
Autorzy:
Yang S; Department of Advanced General Dentistry, College of Dentistry, Yonsei University, Seoul, Korea.
Kim KD; Department of Advanced General Dentistry, College of Dentistry, Yonsei University, Seoul, Korea.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, 2-11 Seuemori-Dori, Chikusa-Ku, Nagoya, 464-8651, Japan.
Takata N; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, 2-11 Seuemori-Dori, Chikusa-Ku, Nagoya, 464-8651, Japan.
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, 2-11 Seuemori-Dori, Chikusa-Ku, Nagoya, 464-8651, Japan. .
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Źródło:
Scientific reports [Sci Rep] 2023 Oct 21; Vol. 13 (1), pp. 18038. Date of Electronic Publication: 2023 Oct 21.
Typ publikacji:
Journal Article
MeSH Terms:
Dental Pulp Cavity*/diagnostic imaging
Neural Networks, Computer*
Humans ; Radiologists ; Vision Tests
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.
Autorzy:
Miyazaki A; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-Cho, Chuo-Ku, Kobe, 650-0017, Japan.
Ikejima K; Department of Radiology, St. Luke's International Hospital, 9-1 Akashi-Cho, Chuo-Ku, Tokyo, 104-8560, Japan.
Nishio M; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-Cho, Chuo-Ku, Kobe, 650-0017, Japan. .
Yabuta M; Department of Radiology, St. Luke's International Hospital, 9-1 Akashi-Cho, Chuo-Ku, Tokyo, 104-8560, Japan.
Matsuo H; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-Cho, Chuo-Ku, Kobe, 650-0017, Japan.
Onoue K; Department of Radiology, Kobe City Medical Center General Hospital, 2-1-1 Minatojimaminamimachi, Chuo-Ku, Kobe, 650-0047, Japan.; Department of Diagnostic Imaging and Interventional Radiology, Kyoto Katsura Hospital, 17 Yamada-Hirao, Nishikyo-Ku, Kyoto, 615-8256, Japan.
Matsunaga T; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-Cho, Chuo-Ku, Kobe, 650-0017, Japan.
Nishioka E; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-Cho, Chuo-Ku, Kobe, 650-0017, Japan.
Kono A; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-Cho, Chuo-Ku, Kobe, 650-0017, Japan.
Yamada D; Department of Radiology, St. Luke's International Hospital, 9-1 Akashi-Cho, Chuo-Ku, Tokyo, 104-8560, Japan.
Oba K; Department of Radiology, St. Luke's International Hospital, 9-1 Akashi-Cho, Chuo-Ku, Tokyo, 104-8560, Japan.
Ishikura R; Department of Radiology, Kobe City Medical Center General Hospital, 2-1-1 Minatojimaminamimachi, Chuo-Ku, Kobe, 650-0047, Japan.
Murakami T; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-Cho, Chuo-Ku, Kobe, 650-0017, Japan.
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Źródło:
Scientific reports [Sci Rep] 2023 Oct 16; Vol. 13 (1), pp. 17533. Date of Electronic Publication: 2023 Oct 16.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
COVID-19*/diagnostic imaging
Deep Learning*
Pneumonia*/diagnostic imaging
Humans ; COVID-19 Testing ; X-Rays ; Tomography, X-Ray Computed/methods ; Radiographic Image Interpretation, Computer-Assisted/methods ; Radiologists ; Computers ; Retrospective Studies
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Non-inferiority of deep learning ischemic stroke segmentation on non-contrast CT within 16-hours compared to expert neuroradiologists.
Autorzy:
Ostmeier S; Stanford School of Medicine, Stanford, USA.
Axelrod B; Department of Computer Science, Stanford University, Stanford, USA.
Verhaaren BFJ; KU Leuven, Leuven, Belgium.
Christensen S; GrayNumber Analytics A/B, Lomma, Sweden.
Mahammedi A; Stanford School of Medicine, Stanford, USA.
Liu Y; Stanford School of Medicine, Stanford, USA.
Pulli B; Stanford School of Medicine, Stanford, USA.
Li LJ; Stanford School of Medicine, Stanford, USA.
Zaharchuk G; Stanford School of Medicine, Stanford, USA.
Heit JJ; Stanford School of Medicine, Stanford, USA. .
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Źródło:
Scientific reports [Sci Rep] 2023 Sep 26; Vol. 13 (1), pp. 16153. Date of Electronic Publication: 2023 Sep 26.
Typ publikacji:
Journal Article
MeSH Terms:
Ischemic Stroke*/diagnostic imaging
Deep Learning*
Stroke*/diagnostic imaging
Humans ; Neural Networks, Computer ; Radiologists ; Tomography, X-Ray Computed
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Wyświetlanie 21-40 z 10371

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