AI in Pathology: From Cancer Diagnostics to Telemedicine - What's New in Science

This week's DigiPath Digest explores the latest advancements in AI and digital pathology. From the application of AI in diagnosing Hirschsprung's disease and Sjögren's syndrome to the disparities in AI performance across different languages, we cover a wide range of topics shaping pathology's future. We also discuss the challenges and opportunities of telepathology in Africa and the potential of confocal microscopy in diagnosing fungal keratitis. Join us as we dive into these exciting developments and their implications for the field.
We'll explore key innovations in cancer diagnostics, including
advancements in Hirschsprung disease and breast cancer, and the growing role of telemedicine in regions like Africa.
Don’t miss this opportunity to gain valuable insights that will help you stay at the forefront of the field.
✨ Key Highlights
- Hirschsprung's Disease Diagnosis: The use of AI to improve the accuracy of acetylcholinesterase staining in diagnosing Hirschsprung's disease.
- Sjögren's Syndrome: Introduction of a graph learning-based model for diagnosing Sjögren's syndrome using digital pathology images.
- Language Discrepancies in AI: An examination of the performance of AI models in answering healthcare-related queries in English and Arabic.
- Fungal Keratitis Diagnosis: The potential of confocal microscopy combined with AI in diagnosing fungal keratitis.
- Telepathology in Africa: A review of the current state of telepathology in Africa and the strategic plans to leapfrog developmental hurdles.
- Breast Cancer CHI 67 Detection: Comparative analysis of automated and manual methods for detecting CHI 67 in breast cancer.
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[@madhudewan8207]

Hi Dr Madhu Dewan from UK

[@aleksandrazurawpathology]

So great to have you!

[@mahmah8006]

Morning

[@aleksandrazurawpathology]

What time?