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AI-Powered Innovation in Flexible and Implantable Electronics: From Sensors to Systems


Abstract

A significant change in wearable and implantable biomedical technology is being driven by the combination of flexible electronics and artificial intelligence (AI). Real-time, non-invasive monitoring of vital signs, including temperature, heart rate, and mobility, is made possible by flexible devices because of their soft, biocompatible, and conformable architecture. These devices improve wearability and user comfort while providing ongoing healthcare tracking. By facilitating intelligent data processing, adaptable functionality, and expedited material discovery, AI greatly improves gadget performance. AI-driven, context-aware wearable devices support applications such as motion tracking, gesture recognition, and health monitoring. AI enhances quality control in manufacturing by using neural networks and computer vision to find flaws in parts like flexible PCBs. The creation of ecologically friendly devices is aided by AI-assisted predictive modelling and autonomous labs, which also help find high-performance, sustainable materials. The future of self-sustaining biomedical devices is being shaped by significant improvements in energy harvesting, electronic skin (e-skin), and intelligent interfaces, despite persistent constraints such as hardware integration, power management, data privacy, and limited computing capability. In order to create intelligent, sustainable, and high-performing healthcare systems, this paper examines the relationship between AI and flexible electronics, highlighting significant technical developments, existing constraints and new potential.


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