Pathology Data Explained | Georgetown University HIDS Virtual Lecture

📜 IN THIS EPISODE / VIDEO:
In this virtual lecture for Georgetown University's Health Informatics and Data Science students, Dr. Aleksandra Zuraw explains how pathology data is generated.

Despite not being able to attend in person due to a car issue, Dr. Zuraw connects with students via Zoom, demonstrating the use of digital pathology tools and discussing the evolving role of AI in pathology. This session talks about the intersection of pathology, data science, and technology, highlighting the significance of understanding data generation processes in medical diagnostics.

✨ Key Highlights
- Interactive Digital Pathology Demonstration: Dr. Zuraw shows live microscopy images and allows students to annotate in real-time via their smartphones.
- Pathology Data Generation Explained: A detailed explanation of how pathology data is generated, including the use of digital slides and whole slide imaging.
- Voice Recognition and AI in Pathology: Discussion on the integration of voice recognition and AI tools in pathology report writing.
- Future of AI in Pathology: Insights into the potential uses of AI for image analysis, report generation, and predictive diagnostics in pathology.
- Collaboration Between Pathologists and Data Scientists: Emphasis on the importance of interdisciplinary communication and understanding between pathologists and data scientists.
- Impact of Language Models: Exploration of how large language models like GPT-4 can assist in automating documentation workflows in pathology.

⏳Timestamps:
00:00 - Introduction
00:31 - Interactive QR Code: scan to view the image
1:17 - Retina
2:44 - Spinal Cord
4:30 - Heart
5:30 - Large Intestine
5:55 - Pathology Data Demystified
6:01 - How is data generated from Pathology Images?
7:08 - Example of a Pathology Report
9:41 - How are pathology images generated?
9:50 - Classical Way
13:08 - Alternative Ways
17:31 - FIBI
19:32 - MUSE
20:44 - Quality Matters: The Importance of quality control in the process of image analysis
23:30 - Quantitative Pathology Endpoints with AI
29:24 - AI in Pathology
38:33 - Q&A: What is happening in the commercial digital pathology space?
41:19 - Q&A: Is it possible to do digital pathology on videos?
42:57 - Q&A: What about data scientist in the digital pathology space?

📙 Resources Mentioned:

📺 WATCH NEXT:

This is hands down the BEST place to start when it comes to digital pathology, which will bring you up to speed or structure your current knowledge and launch your expertise. Don't miss it!

NEXT-TIER RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS:

MY FAVORITE TOOLS, GEAR,& RECOMMENDATION FOR YOU

🔗 CONNECT WITH ALEKS:

#️⃣ Related Tags:

[aleksandrazurawpathology]

If you ever wondered what kind of data pathologists work or if you ever need to explain it, this is a talk for you. And if you have any questions, let me know in the comments below!