Medical image identification and diagnosis system and method without geographical restrictions

Abstract

The invention discloses a medical image identification and diagnosis system and method without geographical restrictions. A checked person can make an appointment for a check-up through a mobile phoneAPP. A check system feeds back the time and specific location for check-up according to the actual situation. A mobile terminal reminds the checked person to go to a relevant place for check-up. After the checked person is checked, the check system uploads the check result to a cloud collection system, and stores the check result in a cloud storage system. A cloud analysis system calls check result data from the cloud storage system, makes a comparative analysis to get a primary analysis report, and sends the primary analysis report to a review system and the mobile terminal of the checked person. After finishing review in the review system, a reviewer sends a review report to the mobile terminal of the checked person and the cloud analysis system. The cloud analysis system carries out self-learning according to the review report. The film reading time is significantly reduced. The manpower cost is reduced. The error of manual film reading is reduced. The accuracy of diagnosis is improved. Moreover, the system and the method are not restricted by region.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a medical image recognition and diagnosis system and method without geographical restrictions. Background technique [0002] At present, due to the surge of patients, including the improvement of national health awareness, imaging examinations such as DR, CT, MRI, and PET (PET-CT\MRI) have become a routine examination, and the number of examinations has increased sharply. Various examinations are mainly completed in medical institutions. , there are the following problems: 1. The time for manual film reading is long, and the time for issuing a diagnosis report increases; 2. The large number of people reading films has caused a lot of waste of medical resources; 3. Long-term and high-intensity film readings will cause medical workers Fatigue, resulting in errors in film reading; 4. Although the hardware (examination equipment) level of many medical institutions has increased, due...

AI Technical Summary

Problems solved by technology

[0002] At present, due to the surge of patients, including the improvement of national health awareness, imaging examinations such as DR, CT, MRI, and PET (PET-CT\MRI) have become a routine examination, and the number of examinations has increased sharply. Various examinations are mainly completed in medical institutions. , there are the following problems: 1. The time for manual film reading is long, and the time for issuing a diagnosis report increases; 2. The large number of people reading films has caused a lot of waste of medical resources; 3. Long-term and high-intensity film readings will cause medical workers Fatigue, resulting in errors in film reading; 4. Although the hardware (examination equipment) level of many medical institutions has increased, due to geographical restrictions and other reasons, the software level of medical institutions (physicians, etc.) is uneven, and the examinee still cannot Get a higher level of medical care

Although the existing technology has preliminarily realized the automatic writing of diagnosis reports, the following problems still exist: 1. The description of the process of automatic diagnosis is relatively vague, ignoring the problem that machine diagnosis may require manual verification; 2. Using scale positioning to achieve image registration 3. It is impossible to further process and correct the wrong results, and it cannot learn automatically, and there are limitations of the database itself; 4. There are still regional limitations

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