The medical field is an important application direction of artificial intelligence, unlike the Internet, the transformation of artificial intelligence on the medical field is subversive, the past five years is the accelerated period of the development of artificial intelligence medical development, and the application of artificial intelligence for medical and health care in the field has been very extensive. What are the main application scenarios of artificial intelligence in healthcare?
?1, intelligent drug research and development
Intelligent drug research and development refers to the application of deep learning technology in artificial intelligence in drug research, through big data analysis and other technical means to quickly and accurately mine and screen out the appropriate compounds or organisms, to achieve shorten the cycle of new drug research and development, reduce the cost of new drug research and development, and improve the success rate of new drug research and development. The purpose is to shorten the cycle of new drug development, reduce the cost of new drug development and increase the success rate of new drug development. New drug development is a long, costly, and risky process. The Tufts University Center for Drug Research and Development (CDRD) has found that it takes at least 10 years and $2.6 billion to research and develop a new drug, based on data from previously approved drugs. And artificial intelligence technology can play a very important role in new drug development.2, intelligent diagnosis and treatment
Intelligent diagnosis and treatment is the application of artificial intelligence to medical diagnosis and treatment, so that the machine "learns" expert physician's medical experience and knowledge of medical literature, simulation of diagnosis and treatment of the logic of thinking, and in the actual application of the program. Programs. Now, the concept of intelligent diagnosis and treatment is further expanded, some of the diagnosis and treatment of the preparatory work can also be undertaken by the machine, to further reduce the pressure of doctors.
Intelligent diagnosis and treatment throughout the entire process before and after the doctor's visit, the current mainstream development direction includes: voice medical records, assisted decision-making, risk warning and other areas. For example, intelligent voice medical records, is through voice recognition technology, to help doctors quickly enter the medical record, DXN data shows that more than 50% of China's hospitalized doctors have an average of more than 4 hours a day in the writing of the medical record, and the application of voice medical records, the doctor's complaints can be converted into text in real time, the efficiency is greatly improved. Then, for example, assisted treatment decision-making, assisted treatment decision-making is the direction that many technology companies are currently focusing on research, through advanced algorithms, based on the knowledge base of clinical guidelines, combined with the experience of doctors, the massive amount of real clinical diagnostic and treatment data and discharge follow-up data for training, to be able to dig the correlation between the treatment program and the outcome, and to compare the effect of different treatment programs. This will help doctors provide more accurate and high-quality diagnosis and treatment plans for patients.?3, medical imaging intelligent recognition
AI medical imaging refers to the use of AI in sensory cognition and deep learning technology advantages, its application in the field of medical imaging, to achieve the analysis of the machine judgment of the medical image, is to assist the doctor to complete the diagnosis, treatment, a kind of auxiliary tool, to help doctors to obtain the image information faster, to carry out quantitative analysis, to improve the doctor to see the image information. Conduct quantitative analysis, improve the efficiency of the doctor to see and read the map, and assist in the discovery of hidden foci, so as to achieve the purpose of improving diagnostic efficiency and accuracy. Artificial intelligence in medical imaging applications are mainly divided into two parts: one is image recognition, applied to the perception of the link, its main purpose is to analyze the image, access to some meaningful information; the second is deep learning, applied to the learning and analysis of the link, through a large number of image data and diagnostic data, and constantly neuron network deep learning training, prompted to master the diagnostic capabilities.?4, medical robots
Medical robots are a kind of intelligent service robots, which have a wide range of sensory systems, intelligence and precision actuators, engaged in medical or paramedical work. The purpose of the medical robot is not to replace the surgeon, but as an auxiliary tool to expand the doctor's surgical ability, improve the quality of surgery, reduce the doctor's work intensity. Medical robots have a broader concept, including surgical robots, rehabilitation robots, medical service robots, and micro detection and treatment robots. Surgical robots can be divided into microsurgical robots, neurosurgical robots, ear, nose and throat shell surgical robots, plastic surgery and orthopedic surgical robots according to different types of surgery.?5, intelligent health management
Intelligent devices built on the basis of artificial intelligence can monitor some of the basic physical characteristics of people, such as diet, body health index, sleep, etc., to assess the quality of the body, to provide personalized health management programs, timely identification of the risk of disease, to remind the user to pay attention to their physical health and Safety. The current application of artificial intelligence in health management is mainly in risk identification, virtual nurses, mental health, online consultation, health intervention and health management based on precision medicine. The health management industry is becoming the mainstream of preventive medicine due to its tone of prevention, conditioning and individualized management. During the "14th Five-Year Plan" period, China has entered a new stage of high-quality development, and health management in China will also enter a new stage of development. Faced with opportunities and challenges, health management services will be more extensive, in-depth and personalized transformation, the use of AI technology to health management of intelligent upgrading of intelligent health management is currently suitable for China's national conditions of a health management approach.