Future Trends in Artificial Intelligence for Addressing Global Healthcare Challenges

Author(s)	Cibaca Khandelwal
Country	United States
Abstract	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.
Keywords	Artificial Intelligence, Healthcare Innovation, Generative AI, Predictive Models, Ethical AI, Global Health Equity, Data Privacy, Infrastructure Development, Digital Health, Personalized Medicine
Field	Engineering
Published In	Volume 6, Issue 6, June 2025
Published On	2025-06-18
Cite This	Future Trends in Artificial Intelligence for Addressing Global Healthcare Challenges - Cibaca Khandelwal - IJLRP Volume 6, Issue 6, June 2025. DOI 10.70528/IJLRP.v6.i6.1660
DOI	https://doi.org/10.70528/IJLRP.v6.i6.1660
Short DOI	https://doi.org/g9t8gk

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