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ai in medicine :: Article Creator Learning AI Tool Is Reshaping The Future Of Medical Imaging New AI for medical image segmentation boosts accuracy by 20% with 20x less data, making diagnosis faster and more affordable. (CREDIT: Shutterstock) Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary. Segmenting these images correctly is crucial for diagnosis, treatment planning, and even surgery. Traditionally, this task has demanded countless hours from expert radiologists who manually label each image with precision. In recent years, deep learning has taken over much of this work, making the process faster and often more accurate. But there's a catch. Deep learning thrives on data—large amounts of annotated scans. In reality, many hospitals and clinics cannot supply thousands of expert-labeled imag...