Future Trends in Artificial Intelligence for Addressing Global Healthcare Challenges

Artificial intelligence (AI) is transforming healthcare delivery and addressing global challenges in diagnostics, treatment, and resource optimization. This paper explores novel advancements in generative AI, predictive modeling, and equitable AI adoption strategies. Generative AI has been pivotal in creating synthetic datasets and advancing drug discovery, while predictive models are driving proactive healthcare solutions and resource management. Despite these advancements, barriers such as data bias, privacy concerns, and infrastructural inequities hinder global adoption. This study emphasizes the need for ethical frameworks, inclusive datasets, and robust infrastructures to bridge disparities. Recommendations for collaborative approaches and future research outline pathways to achieving universal healthcare benefits through AI integration.