Smart Prosthetics in Surgery: AI-Driven Tactile Feedback Using Piezoelectric Sensors

Abstract

This paper explores the innovative application of piezoelectric sensors in robotic prosthetics for surgical systems, emphasizing their potential to enhance tactile feedback during delicate procedures. Piezoelectric sensors can efficiently convert mechanical pressure and vibrations into electrical signals, offering a crucial means for surgeons to feel and interpret force, texture, and other surface characteristics in real time. The ability to generate and transmit tactile feedback through cloud-based systems allows for the creation of a database of tactile patterns, enabling automated recognition of specific tactile interactions during surgery. The integration of artificial intelligence (AI) further enhances the system by learning from collected data, predicting future interactions, and optimizing pattern recognition. Additionally, combining piezoelectric sensors with other types of sensory inputs, such as temperature and strain gauges, allows for a multi-dimensional feedback system. This results in an immersive experience, granting surgeons precise control over their robotic tools. The continuous improvement of these systems through AI and data collection holds vast potential for future developments in robotic surgery, leading to more accurate, safer procedures and better patient outcomes. This research underscores the transformative impact of AI-driven, multi-sensory feedback systems in enhancing the capabilities of robotic-assisted surgeries.