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Deciding Whether to Adopt Artificial Intelligence for Screening Mammography Interpretation.

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Title: Deciding Whether to Adopt Artificial Intelligence for Screening Mammography Interpretation.
Authors: Cha JH; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea., Chotai N; Department of Radiology, RadLink Women Imaging Center, Singapore, Singapore., Fallenberg EM; Department of Gynecology and Obstetrics, TUM School of Medicine and Health, TUM University Hospital Rechts der Isar, München, Germany., Lopez J; Department of Radiology, Hoag Memorial Hospital, Newport Beach, CA., Schiaffino S; Department of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland.
Source: AJR. American journal of roentgenology [AJR Am J Roentgenol] 2026 Jun; Vol. 226 (6), pp. e2533946. Date of Electronic Publication: 2025 Oct 01.
Publication Type: Journal Article
Journal Info: Publisher: American Roentgen Ray Society Country of Publication: United States NLM ID: 7708173 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-3141 (Electronic) Linking ISSN: 0361803X NLM ISO Abbreviation: AJR Am J Roentgenol Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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  Data: Deciding Whether to Adopt Artificial Intelligence for Screening Mammography Interpretation.
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  Data: <searchLink fieldCode="AU" term="%22Cha+JH%22">Cha JH</searchLink>; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Chotai+N%22">Chotai N</searchLink>; Department of Radiology, RadLink Women Imaging Center, Singapore, Singapore.<br /><searchLink fieldCode="AU" term="%22Fallenberg+EM%22">Fallenberg EM</searchLink>; Department of Gynecology and Obstetrics, TUM School of Medicine and Health, TUM University Hospital Rechts der Isar, München, Germany.<br /><searchLink fieldCode="AU" term="%22Lopez+J%22">Lopez J</searchLink>; Department of Radiology, Hoag Memorial Hospital, Newport Beach, CA.<br /><searchLink fieldCode="AU" term="%22Schiaffino+S%22">Schiaffino S</searchLink>; Department of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland.
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  Data: <searchLink fieldCode="JN" term="%227708173%22">AJR. American journal of roentgenology</searchLink> [AJR Am J Roentgenol] 2026 Jun; Vol. 226 (6), pp. e2533946. <i>Date of Electronic Publication: </i>2025 Oct 01.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Roentgen+Ray+Society%22">American Roentgen Ray Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7708173 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1546-3141 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220361803X%22">0361803X </searchLink><i>NLM ISO Abbreviation: </i>AJR Am J Roentgenol <i>Subsets: </i>MEDLINE; In Process
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41031943
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        Value: 10.2214/AJR.25.33946
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      – Code: eng
        Text: English
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              Text: 2026 Jun
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