US US20260224309A1

ARTIFICIAL INTELLIGENCE-GUIDED SYSTEM AND METHODS FOR ADJUSTMENT OF HAPTIC FEEDBACK IN ROBOTIC SURGERY

Abstract

[0000] A robotic surgical system is disclosed incorporating artificial intelligence (AI)-driven haptic feedback to enhance surgical precision and safety. The system includes a surgeon console, robotic arms with surgical tools, imaging devices, and sensors configured to acquire intraoperative data. A processor executes an AI model trained to infer anatomical context and generate haptic control parameters. A haptic feedback interface delivers force, vibration, shear, or thermal stimuli, while a controller applies haptic signals in real time with latency below 50 milliseconds. Feedback is dynamically modulated according to AI-inferred interaction classifications. The system utilizes real-time data, including video, imaging, force, and biometric inputs, to support intraoperative decision-making, trajectory refinement, and surgeon performance assessment. Capabilities include autonomous surgical step execution, surgeon fatigue detection, and continuous model training using historical and live surgical data, enabling adaptive and personalized robotic-assisted procedures.

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