GANs in Medicine

Generative Adversarial Networks (GANs) are a type of artificial intelligence that can create realistic images, simulations, or data by pitting two neural networks against each other. In medicine, GANs are used to generate high-quality medical images (like MRI scans or X-rays) for training, improve image resolution, and assist in disease detection. They help researchers and clinicians visualize patterns or generate data when real datasets are limited, ultimately advancing diagnostics, personalized treatment planning, and medical research with enhanced accuracy and efficiency.