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116: DigiPath Digest #18 | Federated Learning in Pathology. Developing AI Models While Preserving Privacy

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Manage episode 454128932 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://ppacc.player.fm/legal.

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In today's DigiPath Digest, we delve into federated learning, a decentralized approach to AI training that preserves data privacy.
I discuss recent papers from PubMed and share my experiences experimenting with AI tools like Perplexity and Gemini for research efficiency.
You will also get updates on upcoming plans, including leveraging AI to share more podcasts with you.
Did I mention that this is the last livestream of the year as I head to Poland for Christmas? No More DigiPath Digests. We got to number 18 (I overestimated it a bit in the podcast), and you have been instrumental in continuing this series!
Big THANK YOU to all the digital Pathology #TRLBLZRS showing up every Friday morning for this!
Join me as we tackle the nuances of federated learning and its impact on healthcare and pathology.
00:00 Introduction and Greetings
00:18 Today's Topic: Federated Learning
00:57 AI Tools and Updates
04:39 Federated Learning in Detail
08:03 Challenges and Benefits of Federated Learning
11:21 Exploring More Papers and Future Plans
22:53 Wrapping Up and Final Thoughts
Links and Resources:

Publications Discussed Today:
📝
Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine
🔗https://pubmed.ncbi.nlm.nih.gov/39610333/
📝
A review on federated learning in computational pathology
🔗https://pubmed.ncbi.nlm.nih.gov/39582895/


If you enjoyed this episode, please subscribe and leave a review on your podcast listening App!

Support the show

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

  continue reading

138 episodes

Artwork
iconShare
 
Manage episode 454128932 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://ppacc.player.fm/legal.

Send us a text

In today's DigiPath Digest, we delve into federated learning, a decentralized approach to AI training that preserves data privacy.
I discuss recent papers from PubMed and share my experiences experimenting with AI tools like Perplexity and Gemini for research efficiency.
You will also get updates on upcoming plans, including leveraging AI to share more podcasts with you.
Did I mention that this is the last livestream of the year as I head to Poland for Christmas? No More DigiPath Digests. We got to number 18 (I overestimated it a bit in the podcast), and you have been instrumental in continuing this series!
Big THANK YOU to all the digital Pathology #TRLBLZRS showing up every Friday morning for this!
Join me as we tackle the nuances of federated learning and its impact on healthcare and pathology.
00:00 Introduction and Greetings
00:18 Today's Topic: Federated Learning
00:57 AI Tools and Updates
04:39 Federated Learning in Detail
08:03 Challenges and Benefits of Federated Learning
11:21 Exploring More Papers and Future Plans
22:53 Wrapping Up and Final Thoughts
Links and Resources:

Publications Discussed Today:
📝
Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine
🔗https://pubmed.ncbi.nlm.nih.gov/39610333/
📝
A review on federated learning in computational pathology
🔗https://pubmed.ncbi.nlm.nih.gov/39582895/


If you enjoyed this episode, please subscribe and leave a review on your podcast listening App!

Support the show

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

  continue reading

138 episodes

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