According to the World Health Organization, there are more than 100 complications of diabetes. Sugar net disease is the most common serious diabetic complication. It has become the most common irreversible blindness disease among adults aged 20 to 60 years worldwide. It has the characteristics of high incidence rate and high disability rate. It is the third most common blind eye disease in China after cataract and glaucoma.
Sugar net disease is closely related to the course of diabetes. According to the retrospective study of chronic complications of diabetes in hospitalized patients by the Chinese Medical Association Diabetes Credits, the duration of diabetes is less than 5 years, and the prevalence of glycoprotein disease is 19.4%; -10.8% for 10 years; 63.3% for 10-15 years; 78% for 15 years or more. Diabetic patients with longer duration will almost always have different degrees of diabetic disease.
According to the latest global diabetes overview data released by the International Diabetes Federation, the number of diabetic patients in China reached 110 million in 2017, and the prevalence of diabetic retinopathy in China is 24.7% to 37.5%. This estimated about 27 million patients with diabetic retinopathy in China, but the screening rate of this disease in China is less than 10%.
Therefore, it is imperative to raise the citizen's sugar net screening rate.
Artificial intelligence, remote diagnosis and treatment of sugar net screening
Recently, Shenzhen Baoan District Central Hospital and Tencent officially launched the community DIA screening for diabetic retinopathy. With the help of new technologies such as artificial intelligence and remote diagnosis, Baoan District Central Hospital has greatly increased the coverage of sugar net screening. Social welfare residents who have signed a family doctor service can enjoy screening services only in the nearest community medical unit. To achieve early screening for early intervention.
Zhou Hua, dean of Baoan District Central Hospital, pointed out: "Artificial intelligence can improve the capacity building of community doctors in the absence of ophthalmologists, and facilitate the screening of diabetic retinopathy, especially eye lesions, in the community. The inadequacy is to facilitate the patient's visit, which is the social responsibility and the responsibility of medical public health."
Li Zhenhua, Director of Tencent Healthcare Industry Cooperation, said: "The treatment of chronic diseases is long-term and slow, and the demand is very large. Artificial intelligence sinks to the grassroots level, which not only reduces the workload of doctors, but also optimizes the allocation of medical resources through graded diagnosis and treatment. Let more patients get professional diagnosis advice and medical knowledge earlier, and realize early diagnosis and treatment."
Under the national chronic disease management policy, Shenzhen has stepped out of the new path of chronic disease and social screening.
Chronic diseases are a major class of diseases that seriously threaten the health of the public and have become a major health problem affecting economic and social development. Among various chronic diseases, diabetes has caused widespread concern: China is the country with the largest number of type 2 diabetes patients in the world, and with the increase of diabetes, one of the most serious complications of diabetes is diabetic retinopathy. The prevalence and blindness rate of the disease have also increased year by year, becoming the leading blinding disease among the current 20-65 year olds.
The 13th Five-Year National Eye Health Plan (2016-2020) issued by the National Health and Health Commission also listed the early diagnosis and treatment of diabetic retinopathy as a key work target, and pointed out that it is based on a graded diagnosis and treatment system. The effective mode of early screening, diagnosis, referral and treatment of diabetic retinopathy, strengthen the cooperative screening and diagnosis and treatment of ophthalmology and endocrinology. In strengthening the prevention and treatment of chronic diseases, Shenzhen has issued policies to carry out investigations on diabetes eye disease monitoring services and explore Feasible risk assessment tools for diabetes eye disease in Shenzhen and appropriate intervention techniques for early warning screening and classification management of diabetic eye diseases.
The Baoan District Central Hospital and Tencent officially launched the community DIA screening for diabetic retinopathy. It is under the national chronic disease management policy that medical AI is used to create a sample of social screening. In this cooperation, the Baoan Community Hospital of Baoan District will be the first pilot project to provide free sugar net screening services to community residents. In the future, it will gradually cover 36 social health clubs managed by Baoan District Central Hospital.
AI sinking base layer assisted grading diagnosis and treatment really landed
It is understood that more than 80% of diabetic patients attend medical institutions at or below the county level, but the basic medical treatment measures and appropriate technologies for sugar net diseases are implemented in tertiary medical institutions, and the misplacement of resources makes it difficult to manage chronic diseases. Under the national grading diagnosis and treatment system, the management of chronic diseases should sink to the primary hospitals.
Lin Hao, deputy director of Baoan District Health and Welfare Bureau, said, "Tencent and Baoan District Central Hospital cooperated to carry out artificial intelligence early diabetic fundus screening, and opened up the application of artificial intelligence in social health general medical care, providing prevention and control for community diabetes chronic disease prevention and control. The new means also enriched the services of family doctors. This is very important for improving the early screening of diabetic eye disease in residents and improving the quality of family doctor services." He pointed out: "I hope cooperation can cover More residents have really turned the diabetes sugar net screening project into a model project for prevention and control of chronic diseases."
The artificial intelligence assisted diagnosis and treatment system provides support for grassroots social health practitioners. The "Tencent Vision" Diabetic Retinopathy Screening System used in this AI screening has an accuracy rate of 97% for sugar net disease and 85% for sugar net staging. Through staging, it is possible to effectively “divert†patients with chronic diseases and leave some patients with mild symptoms at the grassroots level to ease the burden of diagnosis and treatment of higher-level hospitals and doctors.
Live demonstration: Doctors use Tencent to screen patients for diabetic retinopathy screening
Wu Jiang, deputy dean of Baoan District Central Hospital, said: "With artificial intelligence technology, GPs can be freed from tedious work. Social screening and family doctor services are combined. Artificial intelligence warnings are like traffic signal traffic lights. : Red light is referred to diabetes experts and ophthalmologists; the general yellow light is left in the social health treatment; if it is a green light, the patient can carry out self-health management. Through such a three-level network, while improving efficiency and saving costs, It can also enhance the patient's medical experience."
Li Zhenhua emphasized that with the help of artificial intelligence sugar net screening technology, the community has a realistic condition for large-scale sugar net screening, which is of great significance in reducing the incidence of severe patients with diabetic retinopathy. "Achieving cooperation with Baoan District Central Hospital will promote the redistribution of medical resources through grading diagnosis and treatment by cooperation, and enable more people to enjoy 'safe, efficient, intelligent and healthy' medical services. â€
Light-Scattering Net,Energy Saving Curtain,Energy Saving Shading Net,Aluminum Film Sun Shading Net
Changzhou Green Nets Co.,Ltd. , https://www.gnshadenet.com