AI CAN GENERATE SYNTHETIC MRIS FOR MEDICAL RESEARCH

AI is revolutionizing how medical images are interpreted, helping medical professionals save time analyzing MR images, CT scans, and X-rays. However, one of the significant challenges deep learning scientists working in the medical community face is the lack of accurate and reliable data to train their neural networks.

To solve this problem, a team of researchers from NVIDIA, the Mayo Clinic, and the Massachusetts General Hospital and Brigham and Women's Health Center for Clinical Data Science developed a deep learning-based model that can generate accurate and reliable synthetic images that can be used for training an AI system. For the first time, researchers are now using generative adversarial networks (GANs) to generate abnormal brain MRIs that can be used to train neural networks.

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