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 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.
2. Intelligent diagnosis and treatment
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. According to German railway data, 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.
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.
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.