Automatic judgment method and system for intravascular nerve ablation endpoint

The invention discloses a method and a system for automatically judging an intravascular nerve ablation endpoint. The method comprises the following steps: setting working parameters; after the balloon moves to a target ablation area, normal saline is injected; detecting the pressure in the balloon and the resistance of the outer surface of the balloon and feeding back to the control system; starting an ablation mode by the ultrasonic transducer, and starting to calculate the ablation duration; the ultrasonic transducer is switched into a temperature measurement mode, detects the temperature of the ablation area and feeds back the temperature to the control system; and the control system judges whether the ablation end point of the region is reached or not according to related working parameters detected in real time based on a machine learning model. According to the invention, the technical scheme of setting and real-time detection of a plurality of working parameters is adopted, and on the premise of ensur