Among them, medical robots are mainly divided into wearable robots that can read human nerve signals and robots that can undertake surgery or medical care functions.
The application of artificial intelligence in the medical field mainly includes the following directions:
1. Medical robot
The application of robotics in the medical field is not uncommon, such as smart prostheses, exoskeleton, and auxiliary equipment to repair damaged human bodies, and healthcare robots to assist medical staff in their work. At present, there are two main types of medical robots in practice:
One is that wearable robots that can read human nerve signals have also become “intelligent exoskeletons”;
The second is a robot that can undertake surgery or medical care functions, with the Da Vinci surgical system developed by IBM as a typical representative.
2. Smart drug research and development
Smart 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 technical means such as big data analysis, so as to shorten the new drug research and development cycle, reduce the cost of new drug research and development and improve the success rate of new drug research and development.
Artificial intelligence can predict drug activity, safety and side effects through computer simulation. With the help of deep learning, artificial intelligence has made new breakthroughs in many fields such as cardiovascular drugs, anti-tumor drugs, and common infectious disease treatment drugs. The research and development of smart drugs has also played an important role in the fight against Ebola virus.
3. Intelligent diagnosis and treatment
Intelligent diagnosis and treatment is the use of artificial intelligence technology in auxiliary diagnosis and treatment, allowing computers to “learn” the medical knowledge of expert doctors, simulating the thinking and diagnostic reasoning of doctors, so as to provide reliable diagnosis and treatment plans. Intelligent diagnosis and treatment scenarios are the most important and core application scenarios of artificial intelligence in the medical field.
4. Intelligent image recognition
Intelligent medical imaging is the application of artificial intelligence technology to the diagnosis of medical imaging. The application of artificial intelligence in medical imaging is mainly divided into two parts: One is image recognition, which is applied to the perception link, and its main purpose is to analyze the image to obtain some meaningful information; the other is deep learning, which is applied to the learning and analysis link. Through a large amount of image data and diagnostic data, the neuron network is continuously trained in deep learning to promote its ability to master the diagnosis.
5. Intelligent health management
Intelligent health management is the application of artificial intelligence technology to specific scenarios of health management. At present, it mainly focuses on risk identification, virtual nurses, mental health, online consultation, health intervention, and health management based on precision medicine.