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Generative Adversarial Networks (GANs) have a lot of applications and one is often led to wonder how simple machines can achieve such fascinating and extensively creative accomplishments so efficiently. The healthcare industry has also benefited majorly. For instance, terenzai uses GANs effectively to provide super-resolution to medical imaging. This would mean that the information from high-quality radiography imaging equipment can be leveraged even in areas where a relatively poorer quality of the equipment is at disposal.