Multi‐Receptor Skin with Highly Sensitive Tele‐Perception Somatosensory Flexible Electronics in Healthcare: Multimodal Sensing and AI‐Powered Diagnostics

The rapid advancement of intelligent healthcare and personalized medicine has catalyzed the development of flexible electronics, positioning them as disruptive for next-generation medical monitoring systems. In contrast to conventional rigid devices, flexible sensors offer mechanical compliance with human tissue, enabling non-invasive, continuous, and comfortable long-term physiological monitoring. This review systematically examines recent progress in the field of flexible electronics, with a particular emphasis on the integration of multimodal sensing platforms and artificial intelligence (AI) algorithms. This work highlights innovations in flexible substrates, stretchable interconnects, and sensor architectures that facilitate the concurrent acquisition of electrophysiological, biophysical, and biochemical signals. The incorporation of AI, especially deep learning and edge computing, has significantly enhanced signal processing capabilities, feature extraction, and predictive analytics for early disease detection and individualized treatment planning. This work also discusses the current technical challenges including heterogeneous sensor integration, long-term functional stability, and in vivo biocompatibility. Furthermore, this work explores emerging solutions involving novel nanomaterials, self-powered systems via energy harvesting, and wireless communication protocols, paving the way for clinical translation. This review provides a comprehensive overview of the flexible electronics landscape, identifies critical bottlenecks, and outlines strategic directions for future research to accelerate their deployment in precision healthcare.