A novel laser lithotripsy system with automatic target recognition: from bench to bedside

While employing the Holmium YAG laser, photonic technologies can help detect urinary stones and enhance safety for patient. Our research group recently found that continuous monitoring of fluorescence spectra calculi suffices to distinguish between stone, tissue, endoscope components precisely in real time. We hereby introduce our new automatic target identification system results experimental studies we conducted. In this study, review on vitro vivo experiments conducted developing characterizing a novel system, summarize key features technology. This using intraoperative autofluorescence monitoring, enables detection laser’s by analyzing fluorescent reflected from target. The energy pulses are only emitted when stone is within reach laser fiber tip. revealed autofluorescence-based recognition lithotripsy delivers valuable diagnostic information surgeon recognizes potential structures via implemented detection. After setting intensity threshold level, feedback mode was employed autonomously controls Ho:YAG laser. During procedure, pulse emissions were controlled not surgeon. effectiveness has been successfully proven animal studies. with mechanism provides certainty even event unintentional activation, emission blocked, thus preventing tissue damage unnecessary heat generation. Ours promising approach be used various future urological non-urological applications primarily patients’ safety.