Did you know? Fundus medical examination is an important window to see the signals of hypertension, diabetes, coronary heart disease, Parkinson's disease and other major chronic diseases, but many patients miss the opportunity to control the lesions due to the time, financial cost and distance barrier of regular review.
On September 18, the first domestic "black technology" fundus imager was launched. This fundus imager, which combines an AI-assisted diagnostic system, Huawei Cloud artificial intelligence and connectivity technology, and the top clinical strengths of the Union Hospital, realizes accurate diagnosis and treatment under the environment of ultra-weak light volume, and simply, quickly, and non-destructively restores the true texture of the image, providing ophthalmologists with information more conducive to accurate diagnosis, and lowering the incidence of missed diagnosis and misdiagnosis!
What is artificial intelligence?
Artificial Intelligence is the study of the laws of human intellectual activity, the construction of artificial systems with a certain degree of intelligence, the study of how to let the computer to complete the previous need for human intelligence to be able to perform the work, that is, the study of how to apply computer hardware and software to simulate some of the basic theory of human intelligence behavior, methods and technology.
Artificial Intelligence in the hospital
1, medical virtual assistant
Medical virtual assistant is a kind of artificial intelligence technology and medical knowledge system based on the patient's symptom performance and diagnostic and treatment standards comparison, to provide patients with a full range of services of the specialized information system, the user can be through the language of text, images, and other forms of interaction with the AI system. The user can interact with the AI system through language text, images, and other forms to make it provide medical advice and other services.
Currently, medical virtual assistants can be used in many aspects of disease diagnosis and treatment, such as diagnosis and treatment of intelligent guide robot can be semantically analyzed the content of the patient's speech by the background data processing and give advice on diagnosis and guidance, or through the sensors to obtain the patient's vital signs and feedback to the doctor to improve the efficiency of the diagnosis and treatment.
2, medical image recognition
AI and X-ray, ultrasound, CT and MRI medical imaging can improve the diagnostic efficiency of the physician, to assist in the treatment and judgment. AI in the field of medical imaging is mainly used in the image segmentation, classification, alignment, recognition and deep learning systems, that is, by analyzing the image to obtain meaningful information, a large number of image data comparison, algorithm training, and gradually master the diagnostic capabilities. algorithm training, and gradually master the diagnostic ability. The medical imaging field has become one of the fastest developing directions for the application of AI and big data in the medical field.
3. Pathology Diagnosis
AI can identify details that cannot be observed by the human eye and make quantitative descriptions when labeling tumor features such as pathological structures, avoiding the differences brought about by the subjectivity of physicians.
AI deep learning technology in the field of pathology shows great prospects for application, which can help pathologists to improve the diagnostic efficiency and accuracy, reduce the burden of work, and alleviate the lack of pathologists and the disparity in the diagnostic level of physicians in different regions. The AI deep learning technology has shown great promise in the field of pathology, which can help pathologists improve diagnostic efficiency and accuracy, reduce workload, alleviate the lack of pathologists and the obvious gap in diagnostic level between physicians in different regions, and provide patients with more accurate, reliable, and high-quality medical services.
4. Assisted diagnosis and treatment
Assisted diagnosis and treatment refers to the use of AI technology in the diagnosis and treatment of diseases, allowing computers to learn medical knowledge from medical books, literature, guidelines, and cases, and to summarize and establish a knowledge base, simulate the thinking and diagnostic reasoning process of physicians, and intelligently match the patient's medical information and other medical data, and through the reasoning of the knowledge learned, determine the cause of the disease and the development trend, and give a preliminary diagnosis and treatment of the patient's disease. The patient's disease information and other medical data can be matched intelligently to determine the cause and development trend of the disease through the reasoning of the learned knowledge and give a preliminary diagnosis and treatment plan.
5, medical data platform
Based on AI and Internet technology, the medical data platform can be divided into two categories: one is the medical research big data platform, which can effectively promote medical research by analyzing the huge amount of medical big data in the medical literature; the other is the medical evaluation data platform, which can effectively promote medical research by obtaining important data from medical institutions, including the first page of medical cases, as well as the medical activities of large-scale medical equipments and key drugs in clinical practice. The second is the medical evaluation data platform, through the platform to obtain the medical institutions, including the first page of the case and large medical equipment and clinical key drugs related to medical activities in the important data points, so that the big data analysis and data model deduction, so as to improve the overall management level of the relevant work of the medical institutions.
6, epidemic diagnosis and treatment and monitoring
AI with big data technology can assist in the diagnosis and treatment of new coronary artery disease and epidemic monitoring and early warning through image recognition, automatic temperature detection and virus traceability, the development of appropriate early warning of the key technology, AI-based epidemic monitoring cloud platform monitoring and early warning, epidemic maps, confirmed diagnosis and close contact trajectory tracking, crowd mobility monitoring, etc. in order to reduce labor costs and reduce the risk of infection. The AI-based cloud platform for monitoring and early warning of the epidemic, tracking the trajectories of confirmed and close contacts, and monitoring the movement of people will significantly improve the efficiency of the fight against the epidemic while reducing labor costs and the risk of infection.
Artificial intelligence technology has a wide range of application prospects, which will bring a lot of tangible convenience to the people to see the doctor. Surgical robots, remote surgery and other application scenarios will also allow more people to enjoy quality medical resources.
Expert: Yu Xinle, Associate Professor of Signal and Information Processing at the Communication University of China
This is the first time we've seen an AI technology in the world.