New AI framework improves reliability of cancer pathology diagnosis
Researchers have introduced a new artificial intelligence framework designed to improve the reliability and consistency of cancer pathology diagnoses. By standardizing how AI models are trained, validated, and deployed on pathology images, the framework aims to reduce diagnostic variability and support more accurate treatment decisions for oncology patients.
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