What are the important applications of AI medical technology?

Medical field is an important application direction of artificial intelligence. Different from the Internet, the change of artificial intelligence in the medical field is subversive. In the past five years, the development of artificial intelligence medical care has been accelerated, and artificial intelligence has been widely used in the field of medical health. What are the main application scenarios of artificial intelligence in medical care?

? 1, intelligent drug development

Intelligent drug research and development refers to the application of deep learning technology in artificial intelligence to drug research, and the rapid and accurate mining and screening of suitable compounds or organisms through big data analysis and other technical means, thus shortening the research and development cycle of new drugs, reducing the research and development cost of new drugs and improving the success rate of new drug research and development.

The research and development of new drugs is a long process with long time, high cost and high risk. Tufts University Drug R&D Research Center found that the development of a new drug requires at least 65,438+years and a huge investment of $2.6 billion through the previously approved drug data. Artificial intelligence technology can play a very important role in the research and development of new drugs.

2. Intelligent diagnosis and treatment

Intelligent diagnosis and treatment is to apply artificial intelligence to medical diagnosis and treatment, so that the machine can "learn" the medical experience and medical literature knowledge of experts and doctors, simulate the thinking logic in the process of diagnosis and treatment, and give a plan in practical application. Now, the concept of intelligent diagnosis and treatment is further expanded, and some preparations for diagnosis and treatment can also be undertaken by machines, further reducing the pressure on doctors.

Intelligent diagnosis and treatment runs through the whole process of doctor's face-to-face diagnosis. At present, the mainstream development direction includes: voice medical records, decision support, risk early warning and other fields. For example, intelligent voice medical records help doctors quickly enter medical records through voice recognition technology. German railway data show that more than 50% residents in China spend more than 4 hours writing medical records every day on average. After the application of voice medical records, the contents of doctors' complaints can be converted into words in real time, and the efficiency is greatly improved.

Another example is adjuvant therapy decision. Adjuvant therapy decision-making is the key research direction of many technology companies at present. Through advanced algorithms, based on clinical guideline knowledge base and combined with doctors' experience, a large number of real clinical diagnosis and treatment data and post-discharge follow-up data can be trained, which can mine the correlation between treatment schemes and outcomes and compare the effects of different treatment schemes. Thereby assisting doctors to provide more accurate and high-quality diagnosis and treatment programs for patients.

? 3. Intelligent recognition of medical images

AI medical imaging refers to the use of AI's technical advantages in sensory cognition and deep learning, and its application in the field of medical imaging to realize the analysis and judgment of medical images by machines. It is an auxiliary tool to help doctors complete diagnosis and treatment, help doctors to obtain image information more quickly, make quantitative analysis, improve the efficiency of doctors to look at and read pictures, and help doctors find hidden lesions, thus achieving the purpose of improving diagnostic efficiency and accuracy.

The application of artificial intelligence in medical images is mainly divided into two parts: one is image recognition, which is applied to perception, and its main purpose is to analyze images and obtain some meaningful information; The second is deep learning, which is applied to learning and analysis. Through a large number of image data and diagnostic data, the neural network is continuously trained in depth to promote its diagnostic ability.

? 4. Medical robots

Medical robot is a kind of intelligent service robot, which has a wide range of sensory systems, intelligent and precise actuators and is engaged in medical or auxiliary medical work. The purpose of medical robot is not to replace surgeons, but as an auxiliary tool to expand doctors' surgical ability, improve the quality of surgery and reduce doctors' work intensity.

The concept of medical robots is very broad, 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 surgical robots and orthopedic surgical robots according to different types of operations.

? 5. Intelligent health management

Intelligent devices based on artificial intelligence can monitor some basic physical characteristics of people, such as diet, health index, sleep and so on. , assess physical fitness, provide personalized health management programs, identify disease risks in time, and remind users to pay attention to their own health and safety. At present, the 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.

Health management industry is becoming the mainstream of preventive medicine because of its tone of prevention and conditioning and the characteristics of individualized management. During the Tenth Five-Year Plan period, China has entered a new stage of high-quality development, and China's health management will also enter a new stage of development. Faced with opportunities and challenges, health management services will be more extensive, in-depth and personalized. Intelligent health management, which uses AI technology to upgrade health management intelligently, is a health management method suitable for China's national conditions at present.