Smart Materials Enabled with Artificial Intelligence for Healthcare Wearables

TLDR

Contemporary medicine faces shortcomings in disease diagnosis and treatment due to limited detection capacity, timing, and lack of reliable, affordable, real‑time monitoring, and smart health monitoring systems that combine wearable sensors with analytical modules offer a new frontier to overcome these challenges. This review surveys recent advances in smart materials for multifunctional wearable sensors and AI‑enabled wearables that support early detection and accurate diagnosis. It examines the characteristics, functions, and applications of smart materials and AI‑integrated wearables, outlining their design and analytical frameworks. The review highlights current challenges and outlines future prospects for AI‑assisted personal healthcare systems in clinical decision support.

Abstract

Abstract Contemporary medicine suffers from many shortcomings in terms of successful disease diagnosis and treatment, both of which rely on detection capacity and timing. The lack of effective, reliable, and affordable detection and real‐time monitoring limits the affordability of timely diagnosis and treatment. A new frontier that overcomes these challenges relies on smart health monitoring systems that combine wearable sensors and an analytical modulus. This review presents the latest advances in smart materials for the development of multifunctional wearable sensors while providing a bird's eye‐view of their characteristics, functions, and applications. The review also presents the state‐of‐the‐art on wearables fitted with artificial intelligence (AI) and support systems for clinical decision in early detection and accurate diagnosis of disorders. The ongoing challenges and future prospects for providing personal healthcare with AI‐assisted support systems relating to clinical decisions are presented and discussed.