Haptics and AI-Enabled Surgical Tool for Tissue Classification and Edge Detection

A patent-pending surgical tool combining on-device artificial intelligence tissue classification with haptic feedback has reached Technology Readiness Level 3 and is available for licensing. The device uses a laser-based mechanism and micro camera to capture surgical-site images processed in real time by a pretrained AI model that identifies tissue as hard or soft, then translates the classification into tactile sensations through specialized haptic actuators. The developers say the tool is intended for delicate procedures such as neurosurgery, oncology, and reconstructive surgery, and could be adapted for robotic surgery systems and surgical training.

This innovative surgical tool integrates artificial intelligence and haptic feedback to enable precise tissue classification and edge detection during surgery, enhancing surgical accuracy and safety. Surgical procedures often face challenges due to the complex nature of human anatomy and the limited sensory perception of surgeons. Accurately distinguishing between different tissue types is critical to avoid damage and reduce complications. Existing tools lack real-time, tactile feedback combined with intelligent tissue classification, which can lead to a higher risk of errors and suboptimal patient outcomes. This invention was developed to address these issues by improving the surgeon’s ability to differentiate tissue during operations. This surgical tool employs a laser-based mechanism enhanced with a micro camera that continuously captures images of the surgical site. These images are processed in real-time using a pretrained artificial intelligence model designed specifically to classify tissue types. By analyzing visual data on-device without delays, the tool can instantly identify whether tissue is hard or soft. The key innovation lies in its haptic feedback system that translates this classification into tactile sensations for the surgeon using specialized haptic actuators. This integration of AI and haptics allows surgeons to “feel” subtle differences in tissue texture through the tool itself, significantly improving precision when cutting or navigating around sensitive areas. The device’s compact and ergonomic design ensures ease of use and minimal disruption to surgical workflow. Overall, the technology offers a novel approach that combines real-time image processing, machine learning, and tactile feedback to reduce errors and enhance surgical outcomes. Photo for reference only, not a depiction of the invention. • Real-time tissue classification with on-device AI processing, eliminating delays and increasing responsiveness. • Tactile haptic feedback improves surgeon perception beyond visual cues, enabling more precise differentiation between tissue types. • Enhanced safety by reducing the risk of unintended damage to delicate or critical tissues. • Compact and ergonomic design supports seamless integration into existing surgical procedures. • Improves overall surgical accuracy and patient outcomes by minimizing errors related to tissue misidentification. • Use in various types of surgeries requiring delicate tissue manipulation, such as neurosurgery, oncology, and reconstructive procedures. • Integration into minimally invasive surgical tools to enhance surgeon feedback in confined operative environments. • Training and simulation tools for surgical education, helping practitioners develop enhanced tactile awareness. • Potential adaptation for robotic surgery systems to augment precision and safety through advanced tissue sensing. Patent Pending TRL = 3 This technology is available for licensing.