Author(s) :

Irfan Pasha.

Volume/Issue :

Abstract :

Artificial Intelligence (AI) is transforming healthcare by enhancing diagnostic precision, optimizing clinical workflows, and supporting personalized care. However, its application across diverse age groups—particularly pediatric and geriatric populations—presents unique challenges and opportunities. This paper provides a comprehensive review of AI innovations in pediatric and geriatric healthcare, highlighting similarities, contrasts, and critical gaps that need to be addressed. It explores the distinctive clinical, ethical, and technical considerations in these populations, evaluates current AI-driven solutions, and discusses emerging trends in machine learning, deep learning, and natural language processing. The paper also identifies key areas where AI integration is limited, examining barriers to adoption, regulatory hurdles, and disparities in data representation. Concluding with strategic recommendations, this paper aims to inform stakeholders about the development and deployment of equitable, effective, and patient-centered AI tools that cater to the unique needs of both pediatric and geriatric patients.

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