Send us a textIn this episode sponsored by Epredia, Dr. Anil Parwani explores the transformative journey of digital pathology from basic slide scanning to AI-driven diagnostics. He shares real-world implementation experiences and demonstrates how these technologies are addressing critical challenges in pathology practice.Pathology faces increasing demands amid workforce shortages and knowledge explosionDigital pathology provides standardization, objectivity, and automation beyond glass slidesOhio State University has scanned 4.2 million slides representing nearly 500,000 cases since 2016Current AI applications include biomarker quantification, rare event detection, and tumor classificationIntegration challenges remain the primary barrier to seamless adoption of AI toolsFuture technologies include virtual staining, 3D pathology, and large language model integrationArtificial intelligence remains task-oriented while real intelligence is context-aware and knowledge-basedEach institution must navigate their own "digital pathology chasm" based on specific needsDigital tools will augment pathologists' capabilities rather than replace human expertiseThe technology marketplace offers solutions for every stage of the digital transformation journeyThis Episode's ResourcesEpredia Digital Pathology WebsiteThis Episode on YouTubeComing soon!Support the showGet the "Digital Pathology 101" FREE E-book and join us!

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