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Each month, we will send key data updates, stories from the field, and new research on inclusive oncology AI.
Explainable AI in Pathology: Building Trust in Clinical Diagnostics
Explainable AI (XAI) is bridging the gap between powerful cancer diagnostics and clinical trust. By making predictions transparent and interpretable,...
Foundation Models in Computational Pathology: Opportunities & Hurdles
Foundation models are transforming computational pathology with more accurate, adaptable cancer diagnostics. At PAICON, we see them as key to...
The Remaining84 in Real Life: Killed by a Chemotherapy Meant to Save Him
When Dr. Anil Kapoor, a respected urologist and head of transplants at St. Joseph's Healthcare in Hamilton, Ontario, was diagnosed...
Can AI Learn the Dialect of Histology?
Histology is more than what meets the eye; it's a complex language. Now, artificial intelligence is beginning to understand its...
The Hidden Hero Behind Cancer AI: Clean Data
AI is rapidly becoming a key technology in cancer diagnostics, especially in digital pathology.
Why Black-Box AI Doesn't Work in Cancer Care and What the Future Looks Like Instead
AI is accelerating progress in cancer care, from improving early detection to helping tailor treatments with greater precision. But one...
Designing AI-Driven Diagnostics for Low-Resource Settings
In the pursuit of global health equity, artificial intelligence (AI) stands at a transformative crossroads. While AI-powered diagnostics have shown...
Building Health Equity Through Global Partnerships: Insights from Chile
PAICON’s recent visit to Chile highlighted how meaningful international collaboration can drive progress toward health equity. By connecting with Chilean...
AI-Powered Oncology Trials
A landmark systematic review and meta-analysis confirms what the healthtech world has long anticipated: artificial intelligence (AI) is not just...
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