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Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects.

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Title: Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects.
Authors: Koçak B; University of Health Sciences, Başakşehir Çam and Sakura City Hospital, Clinic of Radiology, İstanbul, Türkiye., Ponsiglione A; University of Naples Federico II, Department of Advanced Biomedical Sciences, Naples, Italy., Stanzione A; University of Naples Federico II, Department of Advanced Biomedical Sciences, Naples, Italy., Bluethgen C; University of Zurich, University Hospital Zurich, Diagnostic and Interventional Radiology, Zurich, Switzerland., Santinha J; Digital Surgery LAB, Champalimaud Research, Champalimaud Foundation; Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal., Ugga L; University of Naples Federico II, Department of Advanced Biomedical Sciences, Naples, Italy., Huisman M; Radboud University Medical Center, Department of Radiology and Nuclear Medicine, Nijmegen, Netherlands., Klontzas ME; University of Crete, School of Medicine, Department of Radiology; University Hospital of Heraklion, Department of Medical Imaging,Crete, Greece; Karolinska Institute, Department of Clinical Science Intervention and Technology (CLINTEC), Division of Radiology, Solna, Sweden., Cannella R; University of Palermo, Department of Biomedicine, Neuroscience and Advanced Diagnostics, Section of Radiology, Palermo, Italy., Cuocolo R; University of Salerno, Department of Medicine, Surgery and Dentistry, Baronissi, Italy.
Source: Diagnostic and interventional radiology (Ankara, Turkey) [Diagn Interv Radiol] 2025 Mar 03; Vol. 31 (2), pp. 75-88. Date of Electronic Publication: 2024 Jul 02.
Publication Type: Journal Article; Review
Journal Info: Publisher: Galenos Publishing House Country of Publication: Turkey NLM ID: 101241152 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1305-3612 (Electronic) Linking ISSN: 13053825 NLM ISO Abbreviation: Diagn Interv Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects.
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  Data: <searchLink fieldCode="AU" term="%22Koçak+B%22">Koçak B</searchLink>; University of Health Sciences, Başakşehir Çam and Sakura City Hospital, Clinic of Radiology, İstanbul, Türkiye.<br /><searchLink fieldCode="AU" term="%22Ponsiglione+A%22">Ponsiglione A</searchLink>; University of Naples Federico II, Department of Advanced Biomedical Sciences, Naples, Italy.<br /><searchLink fieldCode="AU" term="%22Stanzione+A%22">Stanzione A</searchLink>; University of Naples Federico II, Department of Advanced Biomedical Sciences, Naples, Italy.<br /><searchLink fieldCode="AU" term="%22Bluethgen+C%22">Bluethgen C</searchLink>; University of Zurich, University Hospital Zurich, Diagnostic and Interventional Radiology, Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Santinha+J%22">Santinha J</searchLink>; Digital Surgery LAB, Champalimaud Research, Champalimaud Foundation; Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.<br /><searchLink fieldCode="AU" term="%22Ugga+L%22">Ugga L</searchLink>; University of Naples Federico II, Department of Advanced Biomedical Sciences, Naples, Italy.<br /><searchLink fieldCode="AU" term="%22Huisman+M%22">Huisman M</searchLink>; Radboud University Medical Center, Department of Radiology and Nuclear Medicine, Nijmegen, Netherlands.<br /><searchLink fieldCode="AU" term="%22Klontzas+ME%22">Klontzas ME</searchLink>; University of Crete, School of Medicine, Department of Radiology; University Hospital of Heraklion, Department of Medical Imaging,Crete, Greece; Karolinska Institute, Department of Clinical Science Intervention and Technology (CLINTEC), Division of Radiology, Solna, Sweden.<br /><searchLink fieldCode="AU" term="%22Cannella+R%22">Cannella R</searchLink>; University of Palermo, Department of Biomedicine, Neuroscience and Advanced Diagnostics, Section of Radiology, Palermo, Italy.<br /><searchLink fieldCode="AU" term="%22Cuocolo+R%22">Cuocolo R</searchLink>; University of Salerno, Department of Medicine, Surgery and Dentistry, Baronissi, Italy.
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  Data: <searchLink fieldCode="JN" term="%22101241152%22">Diagnostic and interventional radiology (Ankara, Turkey)</searchLink> [Diagn Interv Radiol] 2025 Mar 03; Vol. 31 (2), pp. 75-88. <i>Date of Electronic Publication: </i>2024 Jul 02.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Galenos+Publishing+House%22">Galenos Publishing House </searchLink><i>Country of Publication: </i>Turkey <i>NLM ID: </i>101241152 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1305-3612 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213053825%22">13053825 </searchLink><i>NLM ISO Abbreviation: </i>Diagn Interv Radiol <i>Subsets: </i>MEDLINE
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              Text: 2025 Mar 03
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