Generative AI is stepping into healthcare, bringing a host of changes. It aims to improve patient diagnosis while preserving our trust in doctors. The plan is to personalize treatments while protecting privacy. It even holds the potential to streamline healthcare workflows and predict disease outbreaks, paving the way for preventative care. As these changes happen, a crucial question arises: How can we ensure that Gen AI's medical decisions are fair? And in this transition period, how are different stakeholders like healthcare professionals, AI researchers, ethicists, and Gen AI pioneers collaborating to improve healthcare outcomes, efficiency, and patient experiences?

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