A new artificial intelligence model developed by Microsoft, University of Washington, and Fred Hutch researchers could make breast cancer screening more accurate and less stressful for thousands of women. The AI system, which uses a technique called anomaly detection, was recently published in the journal Radiology and offers promising results—particularly in reducing unnecessary callbacks. The technology, known as Fully Convolutional Data Description (FCDD), takes a fundamentally different approach from previous AI systems. Rather than training algorithms to recognize cancer patterns, researchers taught the model to understand what normal breast tissue looks like. When it spots something unusual, it flags it … Continue reading Microsoft’s New AI Breast MRI Model Slashes False Positives by 25%, Provides Visual Explanation Maps