Pancreas ultrasonic endoscopy navigation method and system based on artificial intelligence

Abstract

The invention provides a pancreas ultrasonic endoscopy navigation method based on artificial intelligence. The pancreas ultrasonic endoscopy navigation method comprises the following steps: acquiringa pancreas ultrasonic endoscopy image; screening qualified pancreatic ultrasonic endoscopic images; performing site identification on the screened qualified images by using a pre-trained artificial intelligence network classification model; generating a guide line containing all stations in advance, displaying the stations and operation instructions of the corresponding stations on the guide lineaccording to the identified stations, and prompting the next endoscope operation, wherein the operation instructions are preset station operation instructions in one-to-one correspondence with different stations, and the guide line specifically comprises a gastral cavity line, a gastral cavity line, a duodenum ball line and a duodenum descending line. Endoscope doctors, especially beginners, can be well helped to ensure pancreas full coverage during pancreas ultrasonic endoscopy, a training system is perfected, and the training quality is improved.

Description

technical field [0001] The invention belongs to the field of medical technology assistance, in particular to an artificial intelligence-based pancreatic ultrasound endoscopic navigation method and system. Background technique [0002] Since endoscopic ultrasonography is a technique that requires both endoscopic manipulation and image interpretation capabilities, it is considered one of the most technically challenging and complex endoscopic procedures for experienced specialists or inexperienced novices . [0003] As healthcare delivery evolves, patient complexity and productivity requirements increase. In clinical settings, there is increasing pressure to ensure effective training of endoscopists. Due to the complexity of endoscopic ultrasonography, studies have shown that at least 12 months of training is required to accurately master the technique. However, in clinical practice, the quality and speed of ultrasound training are often unsatisfactory due to the lack of ex...

AI Technical Summary

Problems solved by technology

[0004] In recent years, the progress of science and technology has promoted the rapid development of artificial intelligence. However, there is no artificial intelligence used in the systematic auxiliary training of endoscopic ultrasound doctors, especially in pancreas examination.

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