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Artificial intelligence (AI), particularly generative AI, is an emerging paradigm with a remarkable capacity to enhance efficiency, accuracy, and personalization in healthcare delivery. Powerful generative models like generative adversarial networks (GANs) and large language models (LLMs) applied to diverse datasets can enable data augmentation for improved diagnostics, accelerated drug discovery, automated documentation, and personalized education and treatment. Realizing the potential of generative AI in transforming healthcare warrants a systematic translational approach focused on acceptance among end users, data quality and integration, thoughtful integration in clinical workflows, and an ethical governance framework. This balanced strategy can unlock the benefits of generative AI in improving patient outcomes, while safeguarding privacy, ensuring equity, and retaining human expertise and empathy at the core of care delivery