AI overcomes chronic diseases, or can change the lives of countless patients

Chronic diseases are one of the major medical problems facing China and the world. Chronic diseases such as diabetes, Parkinson's and Alzheimer's disease are not obvious. Early onset diseases are not easy to be detected. After the late diagnosis, a lot of manpower and material resources are needed. Daily care and care of patients seriously affects the health and quality of life of patients.

China now has more than 300 million chronic disease patients. The number of deaths caused by chronic diseases has accounted for 80% of the deaths due to illness in China. The cost of chronic disease management has accounted for 70% of the total cost of disease in the country. It has become a major public health problem affecting the country's economic and social development.

The management and advance prediction of chronic diseases have made countless medical workers unable to do anything about this. This situation has gradually been broken after artificial intelligence entered the medical field.

Artificial intelligence brings breakthroughs in the field of chronic diseases

Major technology companies have turned their attention to the field of chronic diseases. With the development of artificial intelligence, the current prediction and early diagnosis of chronic diseases have been significantly improved.

Tencent's Parkinson's AI-assisted diagnostic technology enables automatic UPDRS (Internationally Commonly used Parkinson's Disease Rating Scale) scores based on motion video analysis technology for Parkinson's motion video. With the aid of AI technology, users You don't need to wear any sensors, you can use the camera to shoot (common to meet the needs of ordinary smartphones) to achieve daily assessment of Parkinson's disease function, the doctor can complete the diagnosis process within 3 minutes, the diagnostic speed is increased 10 times.

Ali's "Rining Sugar", through the experience of a large number of doctors as an empirical model, with a large amount of medical knowledge and authoritative literature as a knowledge model, using a series of Internet of Things management methods, using artificial intelligence of fundus lesions and urine Protein screening technology, based on computer deep learning to establish diabetes and complication screening software, to achieve "artificial intelligence" for diabetes patients from prevention, diagnosis, treatment, to the management of complications.

At the same time, Korean researchers use a database of brain images of healthy people and Alzheimer's patients established by Alzheimer's disease researchers around the world to train convolutional neural networks and identify them on this basis. The difference between the two. The software system identifies patients with mild cognitive impairment and the prediction accuracy of conversion to Alzheimer's disease is as high as 84.2%, which is superior to the conventional feature-based human quantitative method. It shows the feasibility of using deep brain learning technology to predict disease prognosis using brain image. Sex.

AI is still mainly assisted in the field of chronic diseases

Whether it is Parkinson's diagnosis or early prediction of Alzheimer's disease, in the field of chronic diseases, AI can still do to assist doctors to see and ease medical resources. This is mainly because the chronic disease has a long process and the initial symptoms are not obvious. Under the current medical level, the doctor can only diagnose when the symptoms are obvious, and the lesion has reached the advanced stage. Therefore, the focus of medical AI is on forecasting based on big data, quantifying patient's life indicators, and using data for scientific and accurate diagnosis. This will make up for the shortage of manpower in forecasting and judgment, and reduce the workload of medical staff.

However, the final diagnosis and treatment of chronic diseases is still dominated by doctors. Disease measurement and characterization are the main medical contributions of artificial intelligence at present, but the treatment plan after the diagnosis, the medication situation and nursing measures of different patients still need doctors to judge according to the actual situation. Artificial intelligence can only assist doctors, not doctors.

Family, daily, and mobile are the main directions for the development of AIDS in chronic diseases.

Since the main task of AI is to assist and manage, then the intelligent equipment that enables patients to enjoy professional nursing and medical testing functions will gradually become the new favorite of chronically ill patients.

Chronic diseases require long-term, persistent care and treatment options, which is why chronically ill patients need more medical resources. At present, artificial intelligence can be relied on for rapid diagnosis, and the pathological features are relatively concentrated. The daily monitoring and management after diagnosis is less dependent on the hospital environment. In most cases, after the diagnosis is confirmed in a large hospital, the patient can complete the health self-test and disease management according to the doctor's advice at home. And AI's powerful professional data, human-like voice interaction, "partner" medical model and customized service will play a great role.

If there is a corresponding mobile device that can be used in daily family life to detect the patient in real time, manage the patient's health status, and feed back the data to the doctor in time, then the patient does not need to go to the hospital for care and treatment, not only It can save patients' time and energy, and can further save medical resources and completely change the patient's medical treatment.

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