Artificial intelligence in digital pathology

Artificial Intelligence in pathology explained in a way very easy to understand.
In this video, you will:
✔️ Discover the Impact of AI: Learn about the first FDA-cleared AI tool for pathology diagnosis and how the combination of pathologists and AI is surpassing traditional methods.
✔️ Beyond Primary Diagnoses:
Uncover the broad spectrum of AI applications in pathology, including image analysis and natural language processing, and how they contribute to more efficient and accurate diagnoses.
✔️ Innovations in Digital Pathology:
Dive into the future of pathology as AI predicts molecular properties from tissue images, enabling faster and cost-effective diagnostics.
✔️ Empowering Pathologists with AI:
Explore how AI is being used to create structured reports, facilitate smart searches, and support rapid decision-making in clinical settings.
✔️ Special Offer for Our Listeners:
If you're new to the field of digital pathology or looking to deepen your understanding, Dr. Zuraw has a special gift for you. "Digital Pathology 101" is an eBook guide designed to streamline your journey into digital pathology. Grab your free PDF copy linked below and embark on your digital pathology exploration.
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//CHAPTERS:
00:00 - 00:33 - Introduction
00:34 - AI in Pathology used to be only for image analysis, not anymore!
1:04 - 3 Categories of Applications
1:10 - Image Analysis: Quantifying Something in the Image
2:19 - Image Analysis: Predicting Molecular Properties
2:45 - Case report: AI molecular analysis tool assists in rapid treatment decisions in lung cancer by Barliz Waissengrin
3:21 - Predicting Molecular Properties: Virtual Stains
3:52 - Natural Language Processing
5:39 - RAG ( Retrieval Augmented Generation )
6:57 - Final Thoughts
FREE RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS:
📘 Digital Pathology 101 E-book!
digitalpathology.club/digital...
This is hands down the BEST place to start when it comes to digital pathology that will bring you up to speed or structure your current knowledge and launch your expertise. Don't miss it!
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NEXT TIER RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS:
💻 Pathology 101 for non-pathologists (within the Digital Pathology Club)
digitalpathology.club/dp-club...
Are you starting your journey in tissue image analysis and computational pathology and are confused about what exactly you are supposed to analyze on the whole slide image?
I am finishing a course for computer scientists and professionals starting their journey in image analysis for pathology. This course will help you understand tissue and pathology without the necessity to deeply understand medicine. Join now!
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RECOMMENDED DIGITAL PATHOLOGY THINGS:
📱 My microscopic photography phone case: skopedmicro.com/1625068689/dig...
📷 My microscope camera (It's amazing!!!): imillermicroscopes.com/pages/...
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[@jackt9535]

The real utility of AI is reliably filtering out negative /uninteresting slides and let pathologsts concentrate on useful slides and gain productivity

[@aleksandrazurawpathology]

That would require an "abnormality determination " approach, which so far did not demonstrate enough success in pathology, so currently, it's one entity or several entities at a time. I am waiting for a working abnormality determination solution for pathology. That will really increase efficiency.

[@jackt9535]

@@aleksandrazurawpathology of course! But if you choose the right body part with the right model, it would work

[@jackt9535]

Predicting molecular statute is very random through histology alone. We must check papers raw data rather than statistics.

[@aleksandrazurawpathology]

Or validate the results with a standard of care test, like in the cited paper. I agree, I would blindly trust this kind of predictions.

[@jackt9535]

@@aleksandrazurawpathology thus I doubt the real role of Pathologist in routine workflow...