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In this episode of the Digital Pathology Podcast, I explore the evolving role of Generative vs. Non-Generative AI in Medical Diagnostics. As AI continues to transform the medical field, understanding the differences between these two approaches is essential for pathologists, researchers, and healthcare professionals.
We break down the key concepts behind generative AI models (like ChatGPT and image-generation tools) and non-generative AI models (such as traditional machine learning for diagnostic support). I also highlight a groundbreaking seven-part AI review series published in Modern Pathology, which serves as a crucial reference for integrating AI into pathology.
đŹ Key Topics Covered:
đ©ș Why This Episode Matters:
AI is no longer a futuristic conceptâitâs here, and itâs shaping the future of digital pathology and medical diagnostics. In this episode, I break down how AI can enhance accuracy, improve workflow efficiency, and make diagnostic insights more accessible. However, AI models also come with risks, such as bias and interpretability challenges, which we need to address responsibly.
đ Take Action:
AI in pathology isnât just a passing trendâitâs a paradigm shift. Whether you're a pathologist, researcher, or lab professional, this episode will give you the knowledge you need to stay ahead in the era of AI-driven diagnostics.
đ§ Listen now and explore the future of AI in pathology!
đ Watch it here: https://www.youtube.com/live/Mq4Xwxoq_ok?si=o7bA90BlZff9iI_A
#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 explore the evolving role of Generative vs. Non-Generative AI in Medical Diagnostics. As AI continues to transform the medical field, understanding the differences between these two approaches is essential for pathologists, researchers, and healthcare professionals.
We break down the key concepts behind generative AI models (like ChatGPT and image-generation tools) and non-generative AI models (such as traditional machine learning for diagnostic support). I also highlight a groundbreaking seven-part AI review series published in Modern Pathology, which serves as a crucial reference for integrating AI into pathology.
đŹ Key Topics Covered:
đ©ș Why This Episode Matters:
AI is no longer a futuristic conceptâitâs here, and itâs shaping the future of digital pathology and medical diagnostics. In this episode, I break down how AI can enhance accuracy, improve workflow efficiency, and make diagnostic insights more accessible. However, AI models also come with risks, such as bias and interpretability challenges, which we need to address responsibly.
đ Take Action:
AI in pathology isnât just a passing trendâitâs a paradigm shift. Whether you're a pathologist, researcher, or lab professional, this episode will give you the knowledge you need to stay ahead in the era of AI-driven diagnostics.
đ§ Listen now and explore the future of AI in pathology!
đ Watch it here: https://www.youtube.com/live/Mq4Xwxoq_ok?si=o7bA90BlZff9iI_A
#DigitalPathology #AIinHealthcare #PathologyInnovation #GenerativeAI
Support the show
Get the "Digital Pathology 101" FREE E-book and join us!

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