B-ultrasonic data acquisition analysis and diagnosis integrated robot and platform

Abstract

A B-ultrasonic data acquisition, analysis and diagnosis integrated robot platform is a medical big data platform system built by using an artificial intelligence robot system and a robot acquisition node such as a B acquisition device. By utilizing a robot arm and B-ultrasonic equipment carrying acquisition technology and data analysis, and in combination with a robot node communication principle,the functions of performing robot voice interaction, remotely controlling a robot arm to act for acquiring B-ultrasonic data and performing autonomous acquisition, analyzing the B-ultrasonic data andintelligently diagnosing diseases are realized; through a camera and the B-ultrasonic acquisition device carried on the robot platform, in-vitro organ position recognition is combined with internal B-ultrasonic image based internal organ recognition, so that the internal organs are positioned in a double-precision manner, B-ultrasonic images are acquired in a high-precision manner, the B-ultrasonic organ images are classified, the B-ultrasonic image abnormality is intelligently recognized, and the common diseases in the organs are intelligently diagnosed; the B-ultrasonic images are classified by using a deep neural network method and a machine learning method, and the internal organ diseases are analyzed and intelligently diagnosed; under the guidance of robot voice, medical data are acquired remotely and autonomously; and the common diseases in the organs are remotely inquired, acquired, analyzed and intelligently diagnosed, so that abnormal symptoms are effectively checked.

Description

Technical field: [0001] The invention belongs to the technical field of artificial intelligence robot health examination equipment, and relates to medical data analysis and a medical image intelligent recognition system. Background technique: [0002] It is currently used in the field of health check-ups; during the inspection process, due to various human factors, it is difficult to effectively identify and diagnose diseases in B-ultrasound images. Low efficiency of physical examination, difficult data collection, inaccurate data collection and other problems. [0003] The result is low efficiency, time-consuming, and energy-consuming physical examination. In view of the low efficiency of physical examination, difficult data collection, and inaccurate data collection, the robot-mounted camera, B-ultrasound probe, etc. are used to intelligently monitor various aspects of the B-ultrasound abdominal cavity through medical image data. Abnormal indicators, effective identificat...

AI Technical Summary

Problems solved by technology

[0002] It is currently used in the field of health examination; in the inspection process, due to various human factors, it is difficult to effectively identify and diagnose diseases in B-ultrasound images

Low efficiency of physical examination, difficult data collection, inaccurate data collection and other issues

[0003] The result is low efficiency, time-consuming, and energy-consuming physical examination. In view of the low efficiency of physical examination, difficult data collection, and inaccurate data collection, the robot-mounted camera, B-ultrasound probe, etc. are used to intelligently monitor various aspects of the B-ultrasound abdominal cavity through medical image data. Abnormal indicators, effective identification of B-ultrasound internal diseases, B-ultrasound organ abnormalities, organ image classification, remote control, autonomous collection, intelligent identification, classification of medical data, screening of abnormal data, classification identification, intelligent feedback of abnormalities and disease results, Periodic inspection

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