Abstract
This comprehensive article explores the transformative potential of generative artificial intelligence (AI) in healthcare, examining its applications in data analysis, disease outcome prediction, and personalized treatment planning. The article discusses how generative AI systems can process vast amounts of multi-modal patient data to uncover subtle patterns and correlations, leading to more accurate diagnoses and tailored treatment strategies. It highlights successful implementations across various medical specialties, including oncology, chronic disease management, and rare disease diagnosis. The article also addresses the challenges and ethical considerations associated with the deployment of generative AI in healthcare, emphasizing the need for data privacy, algorithmic transparency, and regulatory compliance. By presenting both the opportunities and obstacles, this work provides a balanced view of the role generative AI can play in ushering in a new era of precision medicine and patient-centered care
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