Generative adversarial networks

Acronym: GAN

Generative adversarial networks (GANs) use two neural networks to generate synthetic data that can be used in the place of real data. GANs are commonly used in image, video, and voice generation. GANs have great potential for use in healthcare because of their ability to generate synthetic MRI images. Using medical images to train AI models for diagnostics and predictive analytics creates multiple challenges for researchers because their quality may vary, they may be subject to patient privacy regulations, and image datasets are often imbalanced. [https://healthitanalytics.com/features/types-of-deep-learning-their-uses-in-healthcare](https://healthitanalytics.com/features/types-of-deep-learning-their-uses-in-healthcare)