The convergence of artificial intelligence (AI), public health and the digital revolution is reshaping the landscape of healthcare, promising a future characterized by proactive, personalized and equitable health outcomes.This paper explores the transformative potential of these converging forces, examining how AI is being leveraged to enhance disease surveillance, predictive analytics and personalized medicine within the context of public health.The digital revolution, driven by advancements in information technology (IT), telehealth and mobile health (mHealth), is democratizing access to healthcare services and empowering individuals to take control of their well-being.This abstract delves into the specific applications of AI in analyzing big data for population health management, the ethical considerations surrounding algorithmic bias and data privacy and the challenges of integrating these technologies into existing healthcare systems.Ultimately, this exploration highlights the critical role of AI and digital technologies in building a more resilient, accessible and data-driven public health infrastructure, paving the way for a future where healthcare is proactive, preventative and tailored to the individual.
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Omid Panahi (2025) studied this question.
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