The application of artificial intelligence in the medical field mainly includes five directions: medical robots, intelligent drug research and development, intelligent diagnosis and treatment, intelligent image recognition and intelligent health management. Medical robots are mainly divided into wearable robots that can read human nerve signals and robots that can undertake surgery or medical care functions.
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The application of artificial intelligence in the medical field mainly includes the following directions:
1. Medical robots
The application of robot technology in the medical field is not uncommon, such as intelligent prostheses , exoskeletons and auxiliary equipment and other technologies to repair damaged human bodies, and medical care robots to assist medical staff in their work. There are currently two main types of medical robots in practice:
First, wearable robots that can read human nerve signals have also become "intelligent exoskeletons";
Second, they can Robots that undertake surgery or medical care functions are represented by the da Vinci surgical system developed by IBM.
2. Intelligent drug research and development
Intelligent drug research and development refers to applying deep learning technology in artificial intelligence to drug research, and quickly and accurately excavating and screening drugs through big data analysis and other technical means. Suitable compounds or organisms can achieve the purpose of shortening the new drug research and development cycle, reducing the cost of new drug research and development, and improving 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 drugs for treating common infectious diseases. The research and development of smart drugs also plays an important role in the fight against Ebola virus.
3. Intelligent diagnosis and treatment
Intelligent diagnosis and treatment is to use artificial intelligence technology in auxiliary diagnosis and treatment, allowing the computer to "learn" the medical knowledge of expert doctors and simulate the doctor's thinking and diagnostic reasoning, thereby providing 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 images. The application of artificial intelligence in medical imaging is mainly divided into two parts: one is image recognition, which is used in the perception process, and its main purpose is to analyze the image and obtain some meaningful information; the other is deep learning, which is used in the learning and analysis process. Through a large amount of imaging data and diagnostic data, the neural network is continuously trained with deep learning to help it master diagnostic capabilities.
5. Intelligent health management
Intelligent health management is the application of artificial intelligence technology to specific scenarios of health management. Currently it mainly focuses on risk identification, virtual nurses, mental health, online consultation, health intervention and health management based on precision medicine.
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