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Content provided by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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149: AI in Pathology: From Pixels to Patients with Dr. Anil Parwani

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Manage episode 499796005 series 3404634
Content provided by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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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!

Support the show

Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

  continue reading

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

Artwork
iconShare
 
Manage episode 499796005 series 3404634
Content provided by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

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!

Support the show

Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

  continue reading

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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