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ClinValAI: A framework for developing Cloud-based infrastructures for the External Clinical Validation of AI in Medical Imaging.

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Title: ClinValAI: A framework for developing Cloud-based infrastructures for the External Clinical Validation of AI in Medical Imaging.
Authors: Ramwala OA; Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, Washington, 98195, USA., Lowry KP; Department of Radiology, University of Washington School of Medicine, Seattle, Washington, 98195, USA., Hippe DS; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA., Unrath MPN; Pariveda Solutions, Seattle, Washington, 98101, USA., Nyflot MJ; Department of Radiology, University of Washington School of Medicine, Seattle, Washington, 98195, USA., Mooney SD; Center for Information Technology, National Institutes of Health, Bethesda, Maryland, 20892, USA., Lee CI; Department of Radiology, University of Washington School of Medicine, Seattle, Washington, 98195, USA, stophlee@uw.edu.
Source: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing [Pac Symp Biocomput] 2025; Vol. 30, pp. 215-228.
Publication Type: Journal Article; Validation Study; Research Support, N.I.H., Extramural
Journal Info: Publisher: World Scientific Country of Publication: United States NLM ID: 9711271 Publication Model: Print Cited Medium: Internet ISSN: 2335-6936 (Electronic) Linking ISSN: 23356928 NLM ISO Abbreviation: Pac Symp Biocomput Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: ClinValAI: A framework for developing Cloud-based infrastructures for the External Clinical Validation of AI in Medical Imaging.
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  Data: <searchLink fieldCode="AU" term="%22Ramwala+OA%22">Ramwala OA</searchLink>; Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, Washington, 98195, USA.<br /><searchLink fieldCode="AU" term="%22Lowry+KP%22">Lowry KP</searchLink>; Department of Radiology, University of Washington School of Medicine, Seattle, Washington, 98195, USA.<br /><searchLink fieldCode="AU" term="%22Hippe+DS%22">Hippe DS</searchLink>; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.<br /><searchLink fieldCode="AU" term="%22Unrath+MPN%22">Unrath MPN</searchLink>; Pariveda Solutions, Seattle, Washington, 98101, USA.<br /><searchLink fieldCode="AU" term="%22Nyflot+MJ%22">Nyflot MJ</searchLink>; Department of Radiology, University of Washington School of Medicine, Seattle, Washington, 98195, USA.<br /><searchLink fieldCode="AU" term="%22Mooney+SD%22">Mooney SD</searchLink>; Center for Information Technology, National Institutes of Health, Bethesda, Maryland, 20892, USA.<br /><searchLink fieldCode="AU" term="%22Lee+CI%22">Lee CI</searchLink>; Department of Radiology, University of Washington School of Medicine, Seattle, Washington, 98195, USA, stophlee@uw.edu.
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  Data: <searchLink fieldCode="JN" term="%229711271%22">Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing</searchLink> [Pac Symp Biocomput] 2025; Vol. 30, pp. 215-228.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22World+Scientific%22">World Scientific </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9711271 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2335-6936 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223356928%22">23356928 </searchLink><i>NLM ISO Abbreviation: </i>Pac Symp Biocomput <i>Subsets: </i>MEDLINE
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        Value: 10.1142/9789819807024_0016
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              Text: 2025
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