5G-based remote internet big data smart medical system

A medical system and Internet technology, which is applied in the field of remote Internet big data smart medical system and medical assistance, can solve the problems of missing, difficult for doctors to visually observe user lesion images, and not conducive to doctor's diagnosis, etc.

Active Publication Date: 2021-02-12
罗鑫龙
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, since the lesion image uploaded by the user only represents the condition of the user's current treatment segment, it is difficult for the doctor to intuitively obse

Method used

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  • 5G-based remote internet big data smart medical system
  • 5G-based remote internet big data smart medical system
  • 5G-based remote internet big data smart medical system

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Embodiment Construction

[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Apparently, the described embodiments are some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0033] With the development of mobile Internet technology and 5G communication technology, more and more users start to use mobile terminals to conduct business online. Taking the diagnosis of skin diseases through the telemedicine system as an example, users usually need to use their mobile terminals to take pictures of their own lesions and send them to the doctor's mobile terminal, so that the doctor can make a corresponding diagnosis based on the user's lesions.

[0034] Ho...

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Abstract

The embodiment of the invention provides a 5G-based remote internet big data smart medical system and a medical assistance method, and aims to provide richer focus images for doctors. The medical system comprises a mobile terminal and a server, a focus rehabilitation function is preset in the server; and the server is used for receiving a focus image and historical treatment time uploaded by the mobile terminal, calculating the treatment time length from the historical treatment time to the current time; extracting a feature vector of the focus image, and determining a target sample feature vector matched with the feature vector from a focus rehabilitation function, taking the treatment time corresponding to the target sample feature vector as a starting point, advancing the treatment timelength to determine a sample feature vector corresponding to the historical treatment time, thereby extracting a sample lesion image corresponding to the sample feature vector; and sending the focusimage, the historical treatment time and the sample focus image to a mobile terminal of the target doctor.

Description

technical field [0001] The present invention relates to the field of mobile Internet technology, in particular to a 5G-based remote Internet big data smart medical system and medical assistance method. Background technique [0002] With the development of mobile Internet technology and 5G communication technology, more and more users start to use mobile terminals to conduct business online. When diagnosing through the telemedicine system, the user usually needs to use a mobile terminal to take images of his own lesions and send them to the doctor's mobile terminal, so that the doctor can make a corresponding diagnosis based on the user's lesions. [0003] However, since the lesion image uploaded by the user only represents the condition of the user's current treatment segment, it is difficult for the doctor to intuitively observe the lesion image of the user in the early treatment period. Therefore, due to the lack of early lesion image data, it is not conducive for doctors...

Claims

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Application Information

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IPC IPC(8): G16H40/67
CPCG16H40/67
Inventor 罗鑫龙
Owner 罗鑫龙
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