Portable ultrasonic pneumonia auxiliary diagnosis system based on artificial intelligence

Abstract

The invention provides a portable ultrasonic pneumonia auxiliary diagnosis system based on artificial intelligence. The portable ultrasonic pneumonia auxiliary diagnosis system comprises a data acquisition and imaging module, a wireless data transmission module, an image analysis and classification module and a pneumonia comprehensive diagnosis module. The data acquisition and imaging module is used for transmitting and acquiring an ultrasonic signal to synthesize an ultrasonic image; the wireless data transmission module is used for sending ultrasonic image data; the image analysis and classification module is used for analyzing and classifying lesion areas in the ultrasonic images; and the pneumonia comprehensive diagnosis module judges and outputs the possibility of having pneumonia according to the analysis and classification results. Different ultrasonic features are generated by utilizing the fact that the internal gas-liquid ratio changes when the lung has lesion, the ultrasonic images according to the features train an artificial intelligence recognition and classification algorithm, the invention can be used for auxiliary diagnosis of lung diseases, especially pneumonia, and can be applied to various scenes in cooperation with a 5G network and handheld ultrasonic equipment. The invention can be used in ICUs, emergency departments, rescue and disaster relief sites, battlefields and the like.

Description

technical field [0001] The invention belongs to the technical field of intelligent analysis of medical ultrasonic imaging, and in particular relates to a portable ultrasonic pneumonia auxiliary diagnosis system based on artificial intelligence. Background technique [0002] Pneumonia, also known as lower respiratory tract infection, is a common respiratory disease and a serious threat to human health. Currently, the diagnosis of pneumonia mainly relies on clinical symptoms (such as fever, cough, etc.) and chest imaging (such as chest X-ray or chest CT). However, chest X-rays cannot be used in pregnant women due to their radioactive properties, and require a high level of experience from the diagnosing physician. Compared with chest X-ray, although chest CT is more accurate and can display infiltrates, abscesses, and consolidations well, it is limited due to greater radiation dose and higher cost. In addition, neither chest X-ray nor chest CT can be visualized in real time....

AI Technical Summary

Problems solved by technology

However, because neither the ICU nor the emergency physicians are professionally trained in ultrasound, they lack the necessary theoretical knowledge and clinical experience in the interpretation of ultrasound images, and the learning curve for improving the diagnostic accuracy is long, which limits the clinical application of lung ultrasound. , so the demand for diagnostic assistance technology based on artificial intelligence is more urgent

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