Announcements, research write-ups, and engineering notes from the team building clinical-grade AI for pathology.
A practical framework for multi-site evaluation of pathology AI, from data characterization and reader studies to local acceptance testing and monitoring.
NewsA practical framework for multi-site evaluation of pathology AI, from data characterization and reader studies to local acceptance testing and monitoring.
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NewsAn educational overview of substantial equivalence, intended use, performance evidence, labeling, and decision-support caveats for pathology AI software.
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NewsA practical guide to controlling staining, imaging, annotation, thresholds, and analysis when quantifying tissue biomarkers across laboratories.
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NewsWhat ISO 13485 covers, how a quality-management system supports medical device software, and why a standard is not the same as product authorization.
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NewsA practical planning guide for introducing digital pathology and AI decision support across laboratories while preserving local governance, testing, and professional accountability.
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NewsWhy an explanation is not automatically a justification, and how oncology AI evaluations can connect model outputs with evidence, limitations, and professional review.
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BlogA standards-aware guide to making very large pathology images navigable, responsive, and understandable across zoom levels.
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BlogA clear distinction between research-use evaluation and clinical decision-support evidence, including intended use, performance, risk, and lifecycle responsibilities.
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BlogWhy benchmark accuracy is not enough, and how site, scanner, specimen, and population differences shape a careful pathology AI evaluation.
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BlogWhat pathology foundation-model studies demonstrate, what transfers across tasks, and why pretraining scale is not the same as clinical validation.
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BlogA practical, vendor-neutral way to plan data flows, identifiers, services, validation, and operational ownership around digital pathology systems.
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BlogHow role definition, transparent outputs, review points, and lifecycle monitoring can keep human judgment central in AI-assisted pathology.
Read articleNewsAn educational overview of substantial equivalence, intended use, performance evidence, labeling, and decision-support caveats for pathology AI software.
Read articleNewsA practical guide to controlling staining, imaging, annotation, thresholds, and analysis when quantifying tissue biomarkers across laboratories.
Read articleNewsWhat ISO 13485 covers, how a quality-management system supports medical device software, and why a standard is not the same as product authorization.
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