HIGHLIGHTS
- What: The Article explores the transformative potential of generative AI in medical imaging emphasizing its ability to generate synthetic data enhance images aid in anomaly detection and facilitate image-to-image translation. The ability to generate synthetic data has been one of the main goals of generating models in medical imaging, as it offers a viable solution for sharing data while protecting patient privacy. The aim of the model is to capture the internal structure and regularity of the training data.[5-7] Once a generative AI model learns the distribution of the training data, it can . . .

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