Medical social APP characterized by automatic diagnosis of thyroid ultrasound image

Abstract

The invention provides a medical social APP characterized by automatic diagnosis of a thyroid ultrasound image, which comprises a common module, an auxiliary diagnosis module, a conversation module, acase library module, a medical circle module and a my module, wherein the common module provides a basic bottom layer function for the next five modules; through acquiring related diagnosis information of the user and after backstage processing, the auxiliary diagnosis module analyzes a focus and gives a diagnosis result; the conversation module is used for enabling the user to maintain a friendlist and providing a chat function; the case library module sorts related thyroid cases according to categories and provides a retrieval function; the medical circle module is used for enabling the user to check medical development published by others or publishing own development; and the my module is used for providing personal information management of the user and system related setting. The target user is a thyroid ultrasound related practitioner, and when the APP of the invention is used, interactive communication among thyroid ultrasound doctor can be promoted, and a computer technologycan be used to assist doctors in effective diagnosis.

Description

technical field [0001] The invention relates to a medical social APP featuring automatic diagnosis of thyroid ultrasound images, which belongs to the field of information technology. Background technique [0002] The thyroid is a hormone-producing gland located in the lower front of the neck that affects heart rate, cholesterol levels, weight, energy level, mental state, and controls a host of other bodily functions. In recent years, the incidence of thyroid cancer in various countries has gradually increased, and the global incidence is increasing at an annual rate of 6.2%. In China, the incidence of thyroid cancer is showing an obvious upward trend. Compared with other auxiliary examination methods, ultrasonography has many advantages such as high efficiency, no radioactivity, non-invasiveness, repeatability, relatively low price, easy acceptance by patients, and easy promotion and application. At present, the American Thyroid Association and the European Thyroid Associati...

AI Technical Summary

Problems solved by technology

[0006] Based on the above analysis, it can be seen that there are three main problems in the current thyroid ultrasound image diagnosis: ①Ultrasound image diagnosis has high requirements on the ability of doctors; ②In my country, the allocation of medical resources is seriously unbalanced; ③There is currently no user positioning as a doctor in the market , an APP that uses computer technology to automatically identify and diagnose thyroid ultrasound images

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