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Generative Artificial Intelligence (GAI) is transforming various fields, including finance, education, marketing, and healthcare. Especially in healthcare, GAI has the potential to revolutionize various aspects, such as medical imaging, drug development, patient care, and treatment planning. Key stakeholders who stand to benefit from these advancements include hospitals, clinics, pharmaceutical companies, medical device manufacturers, and research institutions. However, the implementation of GAI in healthcare presents several challenges, such as ensuring data privacy and security, addressing ethical considerations, maintaining quality and accuracy, adhering to regulatory compliance, and integrating with existing systems. This paper examines the current state of GAI in healthcare, discusses its potential benefits and challenges, and highlights future directions that must be addressed to fully harness the power of GAI in improving patient outcomes and healthcare systems.
Kuzlu et al. (Tue,) studied this question.