Drug Discovery Today · 2023 · 13 citations · 12 references
ComputingHealth InformaticsPathologyClinical Decision SupportClinical InformaticsDiagnostic PathologyComputer-aided DiagnosisDiagnostic Decision SupportDigital Health SystemsMedical ImagingPathology VisualizationAutomated Diagnostic PlatformsAutomated Digital MicroscopyClinical Laboratory AutomationComputational PathologyDigital Pathology AnalysisDigital Pathology IntegrationMachine Learning Decision SupportMicroscope Imaging
We describe a roadmap for a fully digital artificial intelligence (AI)-augmented nonclinical pathology laboratory across three continents. Underpinning the design are Good Laboratory Practice (GLP)-validated laboratory information management systems (LIMS), whole slide-scanners (WSS), image management systems (IMS), and a digital microscope intended for use by the nonclinical pathologist. Digital diagnostics are supported by tools that include AI-based virtual staining and deep learning-based decision support. Implemented during the COVID-19 pandemic, the initial digitized workflow largely mitigated disruption of pivotal nonclinical studies required to support pharmaceutical clinical testing. We believe that this digital transformation of our nonclinical pathology laboratories will promote efficiency and innovation in the future and enhance the quality and speed of drug development decision making.
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HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides
Andrew Janowczyk, Ren Zuo, Hannah Gilmore et al. · JCO Clinical Cancer Informatics · 2019 · 361 citations
Artificial Intelligence in Pathology
Hye Yoon Chang, Chan Kwon Jung, Junwoo Isaac Woo et al. · Journal of Pathology and Translational Medicine · 2018 · 248 citations · Full text
Marc Aubreville, Christof Bertram, Christian Marzahl et al. · Refubium (Universitätsbibliothek der Freien Universität Berlin) · 2020 · 77 citations · Full text