It can not only retrieve cases, but also help diagnose and see how artificial intelligence can help medical upgrading.

Do you know that?/You know what? Do you know that?/You know what? Fundus medical examination is an important window to get a glimpse of major chronic diseases such as hypertension, diabetes, coronary heart disease and Parkinson's disease, but many patients miss the opportunity to control their diseases because of the time, economic cost and distance of regular review.

/kloc-in September of 0/8, the first "black technology" fundus imager in China came out. This fundus imager, which combines AI-aided diagnosis system, Huawei cloud artificial intelligence and connection technology and the top clinical strength of Union Medical College Hospital, realizes accurate diagnosis and treatment in ultra-low light environment, restores the true texture of the image simply, quickly and lossless, and provides ophthalmologists with information more conducive to accurate diagnosis, reducing the incidence of missed diagnosis and misdiagnosis!

What is artificial intelligence?

Artificial intelligence is the basic theory, method and technology to study the law of human intelligence activities, construct an artificial system with certain intelligence, and study how to make computers do the work that needed human intelligence in the past, that is, how to use computer software and hardware to simulate some intelligent behaviors of human beings.

Application of artificial intelligence in hospital

1, medical virtual assistant

Medical virtual assistant is a special information system based on artificial intelligence technology and medical knowledge system, which compares patients' symptoms with diagnosis and treatment standards and provides patients with full-process services. Users can interact with the AI system through language, text, images and other forms to provide medical consultation and other services.

At present, medical virtual assistant can be used in many links before, during and after disease diagnosis and treatment. For example, the intelligent guiding robot before diagnosis and treatment can semantically analyze the patient's voice, process the background data and give suggestions for triage and guided diagnosis, or obtain the patient's vital sign information through sensors and feed it back to the doctor to improve the efficiency of consultation.

2. Medical image recognition

The combination of AI with X-ray, ultrasound, CT, MRI and other medical images can improve the diagnostic efficiency of doctors and assist in treatment and judgment. The application of AI in the field of medical imaging is mainly image segmentation, classification, registration, recognition and deep learning system, that is, by analyzing images to obtain meaningful information, comparing a large number of image data, training algorithms, and gradually mastering the diagnostic ability. The field of medical imaging has become one of the fastest developing directions of AI and big data in the medical field.

3. Pathological diagnosis

When AI marks tumor features such as pathological structure, it can identify the details that can't be observed by human eyes and describe them quantitatively, which can avoid the differences caused by doctors' subjectivity. AI deep learning technology has shown great application prospects in the field of pathology. It can help pathologists improve the efficiency and accuracy of diagnosis, reduce the workload, alleviate the problem of lack of pathologists and the obvious gap between doctors' diagnosis level in different regions, and provide patients with more accurate and reliable quality medical services.

4. Auxiliary diagnosis and treatment

Auxiliary diagnosis and treatment refers to the application of AI technology in disease diagnosis and treatment, which allows computers to learn medical knowledge from medical books, documents, guides and cases, establish a knowledge base, simulate doctors' thinking and diagnostic reasoning process, intelligently match medical big data such as patients' disease information, judge the cause and development trend of diseases through the learned knowledge reasoning, and give a preliminary diagnosis and treatment plan. Doctors refer to the results of auxiliary diagnosis and treatment, combined with clinical experience to provide more clinical decision-making guidance, so that the diagnosis and treatment process is more objective, scientific and reasonable.

5. Medical data platform

Medical data platforms based on AI and Internet technology can be divided into two categories: one is medical research big data platform, which effectively promotes medical research by analyzing the massive medical big data in medical literature; The second is the medical evaluation data platform, through which important data points in medical activities related to medical records, large-scale medical equipment and clinical key drugs in medical institutions are obtained, big data analysis is carried out, and data models are derived, thus improving the overall management level of related work in medical institutions.

6. Diagnosis, treatment and monitoring of epidemic situation

With the help of big data technology, AI can assist the diagnosis and treatment of COVID-19 through image recognition, automatic temperature detection and virus tracking, monitor and warn the epidemic situation, and develop corresponding key technologies for early warning. The epidemic monitoring cloud platform based on artificial intelligence, with the functions of monitoring and early warning, epidemic map, diagnosis and close contact tracking, crowd flow monitoring, can significantly improve epidemic prevention efficiency while reducing labor costs and infection risks.

The broad application prospect of artificial intelligence technology will bring people a lot of real convenience. Application scenarios such as surgical robots and remote surgery will also allow more people to enjoy high-quality medical resources.

Expert: Yu Xinle, Associate Professor of Signal and Information Processing, Communication University of China.