149: AI in Pathology: From Pixels to Patients with Dr. Anil Parwani
Update: 2025-08-12
Description
In 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 explosion
- Digital pathology provides standardization, objectivity, and automation beyond glass slides
- Ohio State University has scanned 4.2 million slides representing nearly 500,000 cases since 2016
- Current AI applications include biomarker quantification, rare event detection, and tumor classification
- Integration challenges remain the primary barrier to seamless adoption of AI tools
- Future technologies include virtual staining, 3D pathology, and large language model integration
- Artificial intelligence remains task-oriented while real intelligence is context-aware and knowledge-based
- Each institution must navigate their own "digital pathology chasm" based on specific needs
- Digital tools will augment pathologists' capabilities rather than replace human expertise
- The technology marketplace offers solutions for every stage of the digital transformation journey
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