Digestive endoscopy quality automatic evaluation system based on artificial intelligence

Abstract

The invention belongs to the technical field of artificial intelligence, in particular to a digestive endoscopy quality automatic evaluation system based on artificial intelligence. The system comprises a detection unit, a data receiving unit, a data transmission unit, an image recognition unit, a data processing unit, a data comparison unit, a voice transmission unit, a human-computer interactionunit and a data storage unit; the output of the detection unit is connected with the data receiving unit; the output of the data receiving unit is connected with the data transmission unit and the image recognition unit; the data of digestive endoscopy is directly subjected to condition identification through the image identification unit, and the identification data is outputted to the data processing unit; the data processing unit performs comparison according to the obtained data standards in the data capture and storage unit, and outputs the compared data and the corresponding conditionsto the human-computer interaction unit, so the manual operation can be effectively reduced, the intelligent degree is improved, the learning of green hands is facilitated, and the use is convenient.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an automatic quality assessment system for digestive endoscopy based on artificial intelligence. Background technique [0002] Artificial intelligence, the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. [0003] Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application fields have also continued to expand. It...

AI Technical Summary

Problems solved by technology

According to the properties of the endoscope used in the examination, it can be divided into esophagoscope, gastroscope, duodenoscope, colonoscope, enteroscope, endoscopic ultrasound, capsule endoscope, choledochoscope (including mother-in-law mirror), pancreatic ductoscope and laparoscope and Laser confocal endoscopy, etc.; divided into upper gastrointestinal endoscopy, lower gastrointestinal endoscopy, endoscopic retrograde cholangiopancreatography (ERCP) and endoscopic ultrasound according to the inspection site and function; classified into diagnostic digestive endoscopy according to clinical application And therapeutic digestive endoscopy, when using the endoscope for digestive endoscopy, the quality assessment needs to be carried out based on the inspection effect, but the existing technical centers, when performing digestive endoscopy based on the endoscope, the quality assessment is entirely based on There is no scientific and data basis for manual operation. This method is only suitable for people with high qualifications. For those who are new to the industry, they cannot intuitively draw evaluations and conclusions, resulting in the difficulty of getting started with digestive endoscopy. Not conducive to use

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