1. Intelligent drug research and development
Intelligent drug research and development refers to the application of deep learning technology in artificial intelligence to drug research, and through big data analysis and other technological means to quickly and accurately dig out and screen out the appropriate compounds or organisms, to achieve the purpose of shortening the cycle of new drug development, reducing the The purpose is to shorten the cycle of new drug development, reduce the cost of new drug development, and improve the success rate of new drug development.
2, intelligent diagnosis and treatment
Intelligent diagnosis and treatment throughout the entire process of the doctor's face-to-face diagnosis, 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 the voice recognition technology, to help doctors quickly enter the medical records, DXN data show that more than 50% of China's hospitalized doctors have an average of more than 4 hours a day in the writing of medical records, and the application of voice medical records, the doctor's complaints can be converted into text in real time, greatly improving the efficiency.
Another example is assisted treatment decision-making, which is the current focus of many technology companies. Through advanced algorithms, based on the knowledge base of clinical guidelines, combined with the experience of doctors, and trained on massive amounts of real clinical diagnosis and treatment data and discharge follow-up data, it is able to dig out the correlation between the treatment plan and the outcome, and compare the effects of different treatment plans. Thus, it can assist doctors to provide patients with more accurate and high-quality diagnosis and treatment programs.
3, medical imaging intelligent recognition
AI medical imaging refers to the use of AI in the sense of cognitive and deep learning technology advantages, will be applied in the field of medical imaging, to achieve the machine analysis of medical images judgment, is to assist doctors to complete the diagnosis, treatment, a kind of auxiliary tool, to help doctors to obtain the image information faster, quantitative analysis, to enhance the doctor to see the picture, read the picture of the efficiency, to help find hidden lesions It is an auxiliary tool to assist doctors in completing diagnosis and treatment, helping them to obtain image information faster and analyze it quantitatively, improving their efficiency in reading and viewing the images, and helping them to discover hidden lesions.
4, medical robots
Medical robots are intelligent service robots with extensive sensory systems, intelligence and precision actuators, engaged in medical or assisted medical work. The purpose of medical robots is not to replace the surgeon, but as an auxiliary tool to expand the surgeon's surgical ability, improve the quality of surgery, and reduce the doctor's work intensity.
5. Intelligent health management
Smart 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, to identify the risk of disease in a timely manner, to remind the user to pay attention to the safety of their health. 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.