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In this episode of the Digital Pathology Podcast, I take a deeper dive into Generative AI in Pathology, following the AI in Pathology series published by USCAP. AI has already begun transforming medical diagnostics, but what does Generative AI mean for digital pathology? From synthetic data generation to multimodal AI models, this episode explores the cutting edge of AI’s role in pathology and how it’s evolving to enhance efficiency, accuracy, and patient care.
🔬 Key Topics Covered:
🩺 Why This Episode Matters:
Generative AI is no longer just a concept—it’s already being used to train models, generate high-fidelity pathology images, and assist with diagnostic decision-making. However, challenges remain, from bias in AI models to the need for domain-specific training data. Understanding these factors is essential for pathologists and medical professionals who want to leverage AI responsibly in clinical practice.
🚀 What’s Next?
This episode discusses not just what Generative AI is but how it can reshape pathology workflows and where we’re headed next. If you’re interested in how AI can improve efficiency and accuracy in diagnostics, this is a conversation you don’t want to miss.
🎧 Listen now to explore the future of Generative AI in pathology!
👉 Watch or listen here: https://www.youtube.com/live/hRv9GmMWSjk?si=OEg8gafqRA2M_zlx
#DigitalPathology #AIinHealthcare #PathologyInnovation #GenerativeAI
Support the show
Get the "Digital Pathology 101" FREE E-book and join us!
By Aleksandra Zuraw, DVM, PhD5
77 ratings
Send us a text
In this episode of the Digital Pathology Podcast, I take a deeper dive into Generative AI in Pathology, following the AI in Pathology series published by USCAP. AI has already begun transforming medical diagnostics, but what does Generative AI mean for digital pathology? From synthetic data generation to multimodal AI models, this episode explores the cutting edge of AI’s role in pathology and how it’s evolving to enhance efficiency, accuracy, and patient care.
🔬 Key Topics Covered:
🩺 Why This Episode Matters:
Generative AI is no longer just a concept—it’s already being used to train models, generate high-fidelity pathology images, and assist with diagnostic decision-making. However, challenges remain, from bias in AI models to the need for domain-specific training data. Understanding these factors is essential for pathologists and medical professionals who want to leverage AI responsibly in clinical practice.
🚀 What’s Next?
This episode discusses not just what Generative AI is but how it can reshape pathology workflows and where we’re headed next. If you’re interested in how AI can improve efficiency and accuracy in diagnostics, this is a conversation you don’t want to miss.
🎧 Listen now to explore the future of Generative AI in pathology!
👉 Watch or listen here: https://www.youtube.com/live/hRv9GmMWSjk?si=OEg8gafqRA2M_zlx
#DigitalPathology #AIinHealthcare #PathologyInnovation #GenerativeAI
Support the show
Get the "Digital Pathology 101" FREE E-book and join us!

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