Remote Palpation System

Remote palpation systems aim to replicate and enhance the diagnostic capabilities of manual palpation, primarily focusing on non-invasive tissue characterization for applications like cancer detection and minimally invasive surgery. Current research emphasizes developing robotic systems equipped with advanced sensors (e.g., fiber Bragg gratings, vision-based tactile sensors) and intelligent algorithms (e.g., Bayesian optimization, Kalman filtering, deep learning) to reconstruct 3D tissue models from tactile data and estimate tissue stiffness. These advancements hold significant promise for improving diagnostic accuracy and reducing invasiveness in various medical procedures, particularly in areas like oncology and minimally invasive surgery.