AI-Powered Adolescent Health: Dimensions, Current Trends and Future Prospects

Abstract

Adolescence is a critical developmental stage, marked by rapid physical, emotional, and psychological changes, which may give rise to unique health challenges. Artificial intelligence has emerged as a transformative force in addressing these challenges, offering innovative solutions for improving adolescent healthcare. This paper provides significant insights into key dimensions, current trends and future prospects of AI in adolescent health. It explores applications in mental health interventions, remote monitoring, personalized nutrition and fitness, and substance abuse prevention, highlighting the potential for AI-driven systems to enhance healthcare outcomes for adolescents. In particular, AI-powered tools such as machine learning algorithms, predictive analytics and personalized health plans have shown promise in early diagnosis, treatment optimization, and lifestyle management. The paper also addresses significant challenges in the adoption of AI, including ethical concerns, data privacy issues, interoperability and the need for trust and acceptance among adolescents. The review concludes by discussing future directions in fully harnessing AI capabilities to modernize adolescent healthcare.