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Utilization of Generative AI in Medical Imaging to Improve Evaluation and Therapy
2
Zitationen
2
Autoren
2024
Jahr
Abstract
Advancements in Generative Artificial Intelligence (AI) are transforming the medical imaging industry by improving diagnostic precision and facilitating treatment planning. The present study investigates the incorporation of complex generative models, namely Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), with the aim of enhancing image quality, rectifying data corruption, and generating lifelike medical images. In addition to improving imaging modalities such as MRI and CT, these models are essential for disease identification, disease progression modeling, and customized therapy planning. Generative AI reduces the constraints caused by small or unbalanced datasets, especially in rare diseases, by producing artificial data for training. This study outlines the main uses, new directions, and potential effects of generative AI on medical imaging in the future to enable more precise diagnosis and efficient treatment.
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