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Generative AI is transforming healthcare with synthetic data, unlocking high-quality, unbiased data for medical device companies, pharmaceutical companies, and academic medical centers, leading to faster discoveries and improved patient outcomes. Generative models can help identify complex disease mechanisms, predict clinical outcomes, and prescribe tailored treatments for patients. MONAI, a framework for building and deploying medical AI, is also advancing Generative AI with methods to create large synthetic datasets for training generalizable AI models that can learn from evolving patient data while preserving patient privacy. The Latent Diffusion Model is a breakthrough in Generative AI for medical imaging and is being developed by Kings College London, co-founders of MONAI. This model can generate synthetic medical images of the human anatomy, including high-resolution brain images. It was trained on the UK BioBank dataset and NVIDIA DGXCloud in just on
