AI (artificial intelligence) cervical cancer screening system

Abstract

An artificial intelligence cervical cancer screening system includes at least one user terminal, at least one intelligent hardware detection trolley, at least one hospital terminal, an intelligent management terminal and a data cloud center, the at least one user terminal, at least one intelligent hardware detection platform The car, at least one hospital terminal and the intelligent management terminal are all networked and connected to the data cloud center through the network. The system has high efficiency in seeing a doctor. Patients can make appointments for various examinations and seeing a doctor through the user terminal, which shortens the efficiency of seeing a doctor and saves waiting time for patients. Moreover, this system realizes the sharing and query of all data, which facilitates the patient's experience in seeing a doctor, and also provides patient data for statistical management by the superior health management department.

Description

technical field [0001] The invention relates to a medical system, in particular to an artificial intelligence cervical cancer screening system. Background technique [0002] Cervical cancer is the most common malignancy in women, mainly occurring in early menopause in prolific women. About 190,000 people die from cervical cancer every year, and more than three quarters of these deaths occur in developing countries. Cervical cancer ranks seventh among all cancers and third among women, after breast cancer and colorectal cancer. In developing countries, less than 50% of women with cervical cancer survive for more than 5 years, while in developed countries, the 5-year survival rate is about 66%. [0003] Existing cervical cancer screening techniques can be divided into two categories, morphology-based methods are checked at the cell or tissue level to identify abnormalities, and molecular biology-based methods are used to check markers of cervical cancer in cervical epithelia...

AI Technical Summary

Problems solved by technology

If you need a follow-up visit, you still need to make repeated appointments for registration, and the process of seeing a doctor is repetitive and cumbersome, resulting in a lot of waste of time for patients

At the same time, due to the uneven testing technology of each hospital, the test results of different medical units cannot be mutually recognized, and patients often need to be tested repeatedly in multiple medical units, which also greatly reduces the patient's medical experience

[0005] Moreover, in the traditional technology, it is necessary to complete the detection through manual collection, film production, film reading, etc., and there are many human-influenced factors.

Moreover, in the traditional medical model, the patient's medical data cannot be shared among various medical units, tends to be fragmented, and cannot be provided to relevant medical management units for data analysis

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