The diagnosis of diseases requires a combination of various means. Chinese medicine is a matter of sensation, and Western medicine is a matter of hearing. Although there are many differences between Chinese and Western medicine, "seeing" is indispensable in the diagnosis and occupyes the top position. Now I say that you only need to take a few photos to diagnose the disease, and the accuracy is not low. Do you believe it? This is not a fantasy, "I have a cloud diagnosis".
There is a cloud diagnosis APP which is an intelligent diagnosis platform for providing users with self-diagnosis of disease health. Its biggest feature is that it does not need to go to the hospital for examination. It only takes a few photos to directly use the mobile phone APP to accurately find out the cause and seek medical attention. Personalized diet management, chronic disease management, and exercise management for personal health conditions.
At present, there is a 10 million PrA round of financing for the cloud clinic. The main funds are used for the development of a health intelligent identification system. At present, WeChat version has been launched, mainly including five major cancer screenings, including lung cancer, liver cancer, stomach cancer, breast cancer and cervical cancer, in addition to tumor constitution screening. The APP version will go live after half a year.
Ingenious combination of Chinese and Western medicine
Zhou Yihua, founder and CEO of the cloud-seeking APP, told the author, “The cloud diagnosis is a product that combines intelligent diagnosis, big data, and imaging diagnosis. It is a combination of traditional Chinese medicine, western medicine, and natural medicine. Disease morphology."
TCM diagnosis, mainly promising, smelling, asking, cutting four methods, referred to as "four diagnosis." In addition to the usual four diagnoses, there are also methods to highlight the local diagnosis of diseases such as face consultation, ear examination, meridian diagnosis, hand diagnosis, and foot diagnosis. It is the embodiment of Chinese medicine holographic biomedicine. The doctor used glasses to observe the changes in the patient's systemic and local morphology and to diagnose the disease. In the photo that the cloud clinic needs to provide, the photo of the ear is used in the ear clinic. The ear clinic is a simple and effective method to assist diagnosis and identification by observing changes in auricular points, color and morphology. Traditional Chinese medicine hand diagnosis, ear diagnosis, acupuncture cupping, scraping and other methods have a sufficient practical basis for the diagnosis and treatment of diseases. According to Zhou Yihua, there is a need to use cloud learning, big data and artificial intelligence to prevent cancer and other physical diseases in the middle.
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The core value of seeking cloud diagnosis is intelligent cloud diagnosis, artificial intelligence, use of big data and other image analysis, intelligent data extraction to complete the initial screening of the disease. In the case of seeking cloud consultation, it is not entirely based on Chinese medicine, of which Chinese medicine only accounts for 20%, and Western medicine accounts for 80%. There is a clever combination of Chinese and Western medicine. Zhou Yihua said that "there is more than 40 years of clinical experience and a large number of pathological basis for seeking cloud diagnosis."
According to reports, the main technology used in the cloud diagnosis is DIMT (data image comparison) technology, which is an artificial intelligence system based on medical examination data and deep learning of image data. At present, the accuracy rate of DIMT cancer screening is between 85% and 99%. DIMT effectively solves many application problems such as timely feedback of results, mobile data collection, cost of use and cancer cancer prediction. The cancers currently recognized by DIMT include: blood cancer (leukemia), lymphoma (including lymphoma), liver cancer, stomach cancer, uterine cancer, cervical cancer, cervical cancer, lung cancer, brain cancer, breast cancer, lung cancer, stomach cancer, esophageal cancer, and intestine. Cancer, malignant lymphoma, nasopharyngeal carcinoma, renal cancer, rectal cancer, ovarian cancer, colon cancer, skin cancer, prostate cancer, esophageal cancer, pancreatic cancer, bladder cancer, cholangiocarcinoma, and the like.
In the process of product development, there are more than 100,000 doctors in the world who have cooperated with the cloud, collected data for millions, conducted a comparison of 300,000 cases, and verified the diagnosis results by modern medical means after image recognition diagnosis. It is reported that the diagnostic accuracy rate for seeking cloud diagnosis is over 95%.
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