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149: AI in Pathology: From Pixels to Patients with Dr. Anil Parwani
Manage episode 499796005 series 3404634
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
This Episode's Resources
This Episode on YouTube
Coming soon!
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
Chapters
1. Journey of Digital Pathology (00:00:00)
2. Challenges and Opportunities in Pathology (00:05:04)
3. Ohio State's Digital Implementation Journey (00:10:21)
4. AI Applications in Clinical Pathology (00:18:13)
5. Beyond the Glass Slide (00:23:57)
6. Artificial vs. Real Intelligence (00:30:34)
7. Future of Integrated Pathology (00:34:11)
160 episodes
Manage episode 499796005 series 3404634
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
This Episode's Resources
This Episode on YouTube
Coming soon!
Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
Chapters
1. Journey of Digital Pathology (00:00:00)
2. Challenges and Opportunities in Pathology (00:05:04)
3. Ohio State's Digital Implementation Journey (00:10:21)
4. AI Applications in Clinical Pathology (00:18:13)
5. Beyond the Glass Slide (00:23:57)
6. Artificial vs. Real Intelligence (00:30:34)
7. Future of Integrated Pathology (00:34:11)
160 episodes
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