"In the future, only the patient's fundus photo, more than ten seconds after the image artificial intelligence diagnostic system will automatically identify the lesions." Zheng Bo, chief ophthalmologist of the fourth hospital in Xi'an, sliding the mouse to show reporters just established a large database, said happily, the establishment of a large database for the future implementation of the project to lay a solid foundation for the implementation of the project, to be implemented, to avoid blindness due to sugar reticulation patients, early detection and early treatment, so that sugar reticulation patients benefit.
The "project" in Zheng Bo's words is the Tencent AI image screening project, which is a successful practice in the field of medical diagnostics since Xi'an promoted the PPP model.
Artificial intelligence technology
Effectively improves the accuracy of the doctor's diagnosis
On October 31, 2017, at the 2017 "Internet +" Digital Economy China Tour - Shaanxi Summit guided by the Shaanxi Provincial Office of Internet Information and hosted by Tencent, Xi'an's Fourth Hospital joined hands with Tencent to set up an artificial intelligence medical imaging joint laboratory,*** with the same launch of fundus screening clinical pre-trial. Since the trial was launched two months ago, the Fourth Municipal Hospital has relied on Tencent's image recognition, deep learning and other artificial intelligence technologies to conduct in-depth research and practice on fundus screening, assisting doctors to conduct fundus screening, effectively improving the accuracy of doctors' diagnosis, and enabling the majority of patients to enjoy the benefits brought by the "Internet Plus". Through this successful attempt, so that the majority of medical workers realize that the Internet artificial intelligence technology to assist in medical diagnosis, to make up for the quality of medical resources and uneven distribution of medical level of the gap has an important role in promoting.
Glycologic retinopathy patients are prone to miss
The best time for treatment
Glycologic retinopathy, short for "diabetic retinopathy," is a common retinal vascular disease and a major blinding eye disease for diabetics. China is the country with the largest number of type II diabetes patients in the world. With the increase in the number of diabetes patients, the prevalence of diabetic retinopathy and the rate of blindness are also increasing year by year, and it is the first blinding disease in the current population. Evidence-based medical research has proved that high blood glucose, high blood pressure and high blood lipids are important risk factors for the development of diabetic retinopathy.
"Because sugar retinopathy often does not have any clinical symptoms in the early stage, and once there are symptoms, the condition has been more serious, such as patients with vision loss, fundus hemorrhage, and it is easy to miss the best time for treatment, so the effectiveness of the treatment of sugar retinopathy depends on whether the treatment is timely. However, due to the lack of ophthalmologists and the low attention of residents, the current percentage of screening for sugar reticulation is less than 10%." Zheng Bo said with slight regret. According to relevant departments, 87 percent of diabetes patients currently visit county-level and lower medical institutions, but basic diagnostic and treatment measures and appropriate technology for sugar reticulation are implemented in tertiary medical institutions.
Artificial Intelligence Recognition
Sugar reticulation can soon be diagnosed
Zhang Yanchun, deputy director of ophthalmology at Xi'an No. 4 Hospital, told the reporter that there are currently 200,000 diabetic patients in the city of Xi'an who are on file, and there is an increasing demand for clinical diagnosis, while there is a shortage of diagnostic imaging doctors in all hospitals.
"However, sugar reticulation is preventable, as long as timely detection and through effective treatment and management can be cured rate of 95%. Now it's good, Tencent foraging will fundus sugar network screening and auxiliary diagnostic technology used in medical diagnosis, assisting doctors to carry out medical imaging screening and clinical diagnosis of high incidence of the population, effectively improve the accuracy of the screening, and further enhance the hospital's diagnostic effect in diagnostic imaging." According to Zhang Yanchun, the project is not only fast and accurate diagnosis, artificial intelligence recognition of more than ten seconds to diagnose sugar network disease, greatly optimize the screening of sugar network, and optimize the process of patients to see the doctor, saving the doctor's time. The future of AI will help primary hospitals better screen patients with sugar reticulation, thus allowing patients in need of treatment to be treated as early as possible, which in turn will significantly reduce the total healthcare costs of society.
It is reported that Tencent foraging is Tencent's use of artificial intelligence technology and medical big data combined with the launch of AI medical imaging products, image recognition, deep learning and other leading technologies and medical cross-border integration. Zhang Yanchun is talking about the artificial intelligence to identify sugar network disease, is the fourth hospital in Xi'an City in this year's depth of cooperation with Tencent foraging, continue to expand the scope of the disease auxiliary diagnosis of the project.
Later on, it can also realize
Remote medical auxiliary diagnosis
"After the launch of the project, we have embarked on the establishment of a database for sugar reticulation. Taking advantage of the hospital's medical association and ophthalmology alliance, we collect patients' image data and then provide it to Tencent. Using artificial intelligence technology, we can realize accurate reading of films in seconds, and we can realize the diagnosis of disease, hierarchical diagnosis, foci marking, automatic generation of cases, suggestion of treatment plan and prediction of disease development according to the conclusions of the images, and other diagnostic and therapeutic auxiliary work in the whole process." Zhang Yanchun said that the collaborative diagnosis of artificial intelligence systems and doctors can not only solve the current problem of insufficient resources for doctors and ease the pressure on doctors, but also greatly reduce medical costs.
In the future, when using AI for sugar reticulation screening, patients only need to use their cell phones, handheld fundus cameras and professional fundus equipment to take fundus photos, upload them to the system or the cloud, and then enter their own medical history (which can also be entered by the doctor), and the system will automatically give auxiliary reference opinions. Patients who need subsequent in-depth examination and treatment will then be referred to the doctor for review. Patients without diabetic retinopathy and mildly not requiring subsequent in-depth examination and treatment are given health guidance advice.
Zhang Yanchun said that the hospital will also try to promote and use imaging and disease screening technology within the medical consortium at a later stage to realize telemedicine-assisted diagnosis and mutual recognition of imaging results. In promoting the construction of national health care big data center, you can explore Tencent foraging access to regional medical information platform, specifically on the application of diagnostic imaging technology to cooperate, and further enhance the city's hospitals "Internet +" intelligent medical application level for the next step in the construction of national health care big data center to lay a good foundation.
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