Remote diagnosis system for lung diseases

Abstract

The invention provides a remote diagnosis system for lung diseases. The remote diagnosis system comprises: a vehicle-mounted CT scanning subsystem, which is equipped with CT scanning equipment and used for collecting a lung CT image of a patient; and a cloud image analysis subsystem, which is equipped with a trained neural network model and used for analyzing the lung CT image to obtain a positiveor negative discrimination result of a specific lung disease. The remote diagnosis system for lung diseases provided by the invention can acquire medical images of patients in time at an unspecific place and transmit the medical images to a cloud in time, and image analysis is carried out in real time by utilizing an artificial intelligence neural network technology to obtain positive or negativejudgment results, so limitation on a medical diagnosis scene and dependence on professional doctor resources are reduced, and diagnosis efficiency is greatly improved.

Description

technical field [0001] The invention relates to the field of medical image diagnosis, in particular to a remote diagnosis system for lung diseases. Background technique [0002] Since December 2019, some hospitals in Wuhan City, Hubei Province have successively discovered a number of cases of pneumonia of unknown cause with a history of exposure to the South China Seafood Market, which have now been confirmed to be acute respiratory infectious diseases caused by 2019-nCoV novel coronavirus infection. The 2019-nCoV novel coronavirus has strong transmission power and rapid infection, which has caused serious shortage of medical resources in some severely affected areas. In the diagnosis of 2019-nCoV novel coronavirus pneumonia, the detection and diagnosis mainly rely on nucleic acid kits for the detection of 2019-nCoV novel coronavirus. [0003] In the diagnosis of 2019-nCoV novel coronavirus pneumonia, at present, it mainly relies on nucleic acid kits specially used to detec...

AI Technical Summary

Problems solved by technology

However, there are still problems that the number of patients that can be scanned per day in the CT scanning room of the hospital is limited and the number of professional diagnostic doctors is also insufficient.

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