INNOVATIVE AI SOLUTIONS IN PATHOLOGY: PAPER HIGHLIGHTS

Are you curious about the latest advancements in digital pathology and artificial intelligence? In this live journal club, we explore innovative AI solutions in pathology by reviewing and discussing recent papers. Join us as we dive into digital histopathology, deep learning models, and the integration of AI in diagnostic processes. We discuss the benefits, challenges, and future potential of these technologies in pathology.
✨ Key Highlights:
- Introduction to the session and interaction with live viewers
- Explanation of setting up PubMed alerts for the latest research updates
- Discussion of the first paper on prostate cancer risk stratification using deep learning
- Review of a framework for pathologist-AI collaboration in diagnostics
- Evaluation of nuclear morphology in cancer cells for predicting genomic instability
- Performance analysis of AI-assisted digital microscopy for bone marrow aspirates
- Engaging with the audience for feedback and improvement ideas
⏳ Timestamps
00:00 - Introduction
10:44 - Prostate Cancer Risk Stratification by Digital Histolopathology and Deep Learning
16:40 - A pathologist-AI collaboration framework for enhancing diagnostic accuracies and efficiencies
26:15 - AI-powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis
32:08 - Performance evaluation of a novel artificial intelligence (AI)-assisted digital microscopy system for the routine analysis of bone marrow aspirates
38:02 - Final Thoughts
Watch Next:
Digital Pathology Applications: From Clinical Practice to Drug Development - th-cam.com/users/li...
How is Artificial Intelligence and Machine Learning Used in Pathology? - th-cam.com/users/li...
ETHICS IN AI-DRIVEN PATHOLOGY - th-cam.com/users/li...
The Future of Pathology: AI, Digital Tracing & Environmental Sustainabilityth-cam.com/users/li...
AI and Digital Pathology: Innovations in Disease Detection and Prognosis - th-cam.com/users/li...
AI-powered Digital Pathology: From Skin Lesions to ChatGPT - th-cam.com/users/li...
📙FREE RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS: digitalpatholo...
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:
📘Digital Pathology 101 E-book! - digitalpatholo...
💻 Pathology 101 for non-pathologists (within the Digital Pathology Club) - digitalpatholo...
📩 Free Weekly Pathology Insights - Digital Pathology Newsletter - digitalpatholo...
🔬 Starting in tissue image analysis? - digitalpatholo...
MY FAVORITE TOOLS, GEAR,& RECOMMENDATION FOR YOU
📱 My microscopic photography phone case - skopedmicro.com...
📷 My microscope camera (It's amazing!!!) - imillermicrosc...
📹 My DJI Osmo Pocket 3 - amzn.to/3R1b1Bz
📙 My favorite histology book (get it if you want the best resource!): amzn.to/451o2Rx
📙 Digital Pathology 101 - amzn.to/3yKjVgk
🌎 Website - digitalpatholo...
📸 Instagram: / digital_pathology_place
🎥 FB - / digitalpathologyplace
👨‍💻 LinkedIn - / aleksandra-zuraw-dvm-p...
📱 TikTok - / digitalpathology
🐦 Twitter - ol...
#️⃣ Related Tags:
artificial intelligence,ai,ai in pathology,ai tutorial for beginners,machine dependence,artificial general intelligence,Deep learning in pathology,deep learning in pathology,Digital pathology tools,AI model in pathology,genomic instability prediction,pathology innovations,Advances in digital pathology,AI in healthcare,digital pathology innovations,image analysis in pathology,artificial intelligence course

[@aleksandrazurawpathology]

Here are the abstracts we reviewed today:
1. Prostate Cancer Risk Stratification by Digital Histopathology and Deep Learning, JCO Clin Cancer Inform. 2024 Jun:8:e2300184. doi: 10.1200/CCI.23.00184.
2. A pathologist-AI collaboration framework for enhancing diagnostic accuracies and efficiencies
Nat Biomed Eng. 2024 Jun 19. doi: 10.1038/s41551-024-01223-5. Online ahead of print.
3. AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis
NPJ Precis Oncol. 2024 Jun 19;8(1):134. doi: 10.1038/s41698-024-00623-9.
4.
Performance evaluation of a novel artificial intelligence (AI)-assisted digital microscopy system for the routine analysis of bone marrow aspirates
Mod Pathol. 2024 Jun 17:100542. doi: 10.1016/j.modpat.2024.100542. Online ahead of print.