Artificial intelligence technology is showing its talents in the medical field

Introducing artificial intelligence (AI) into the medical field is one of the more forward-looking explorations in today’s medical and health care. At present, artificial intelligence technology is showing its talents in the medical field, and its application prospects are very broad; as the internationally renowned scholar Professor Zhou Haizhong once pointed out: "With the development of society and the advancement of science and technology, artificial intelligence technology will show its talents in the field of medical and health; its results Will continue to emerge, and the application prospects are exciting." Like big data and the Internet of Things, artificial intelligence technology will become one of the core elements of future medical development.

The application of artificial intelligence technology in the medical field means that people all over the world can receive more inclusive medical assistance and better better diagnoses, safer minimally invasive surgeries, shorter wait times, lower infection rates, and improved long-term survival for everyone. Specific applications of artificial intelligence technology include insight and risk management, medical research, medical imaging and diagnosis, lifestyle management and supervision, mental health, nursing, emergency room and hospital management, drug mining, virtual assistants, etc. Overall, the current application of artificial intelligence technology in the medical field mainly focuses on the following five aspects:

1. Intelligent diagnosis and treatment

Intelligent diagnosis and treatment is the application of artificial intelligence technology When used in disease diagnosis and treatment, the machine can "learn" the medical experience and medical literature knowledge of expert doctors, simulate the thinking logic during diagnosis and treatment, and provide solutions for practical applications. Computers can help doctors make statistics on pathology, physical examination reports, etc., analyze and mine patients' medical data through technologies such as big data and deep mining, and automatically identify patients' clinical variables and indicators. The computer simulates the doctor's thinking and diagnostic reasoning by "learning" relevant professional knowledge, thereby giving reliable diagnosis and treatment plans. Intelligent diagnosis and treatment is the most important and core application scenario of artificial intelligence in the medical field in general. As it is implemented in actual scenarios, artificial intelligence technology will become an assistant to doctors, allowing doctors to treat diseases and save lives more easily and efficiently. In addition, doctors can use artificial intelligence technology to simulate doctor-patient communication and intelligently collect patient conditions to generate medical record reports. In some specific diagnostic fields, the future of artificial intelligence has huge potential for development. For example, a new type of artificial intelligence recently designed by scientists sifts through brain imaging data to find patterns related to autism, schizophrenia, and Alzheimer's disease. The pattern can detect signs of mental illness.

2. Image recognition

In traditional medical scenarios, training excellent medical imaging doctors takes a long time and costs a lot. In addition, manual film reading is too subjective, information and numbers are insufficiently utilized, and errors are prone to occur during the judgment process. According to research statistics, more than
90% of medical data comes from medical imaging. However, imaging diagnosis relies too much on people's subjective consciousness and is prone to misjudgment. 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. By learning a large amount of medical images, artificial intelligence can help doctors locate disease areas, reduce missed diagnoses and misdiagnoses, and improve diagnostic accuracy and efficiency. Big data and artificial intelligence will be used to accurately identify early lesions in medical images, locate disease-causing genes and carry out corresponding targeted treatments, and provide early warning of major health risks.

3. Medical devices

In terms of medical devices, there are mainly medical intelligent robots; this kind of equipment is widely used, such as intelligent prostheses, exoskeletons and auxiliary equipment to repair damaged human bodies. Healthcare robots assist medical staff in their work, etc. There are currently two main types of medical intelligent robots in practice: one is a medical intelligent robot that can read human nerve signals, also known as an "intelligent exoskeleton"; the other is a medical intelligent robot that can undertake surgery or medical care functions, developed by IBM The da Vinci surgical robot is a typical representative. In recent years, medical intelligent robots have developed very rapidly and entered the market. There are four main future development trends of medical intelligent robots: first, the concept of precision medicine will further develop; second, collaborative innovation of all elements of medical and industrial research and application will become inevitable; third, financial capital will play an increasing role in the medical intelligent robot industry. , Fourth, dedicated medical robots will become a product development trend; this trend will increase day by day.

4. Drug research and development

Relying on big data information from millions of patients, artificial intelligence systems can quickly and accurately mine and screen suitable drugs. Through computer simulation, artificial intelligence technology can predict drug activity, safety and side effects, and find the best drug that matches the disease. This technology will shorten the drug development cycle, reduce the cost of new drugs, improve the success rate of new drug development, and better benefit patients. Artificial intelligence technology can not only unearth hidden relationships that are not easily discovered and build deep relationships between drugs, diseases and genes; it can also conduct virtual screening of candidate compounds to quickly screen out compounds with higher activity, providing Prepare for late-stage clinical trials. With the help of deep learning, artificial intelligence technology has made new breakthroughs in many fields such as cardiovascular drugs, anti-tumor drugs, and drugs for treating common infectious diseases. Especially in the fight against COVID-19, artificial intelligence technology has played a very important role in vaccine research and development.

5. Health management

Smart devices built based on artificial intelligence technology can monitor some basic physical characteristics of people, such as diet, sleep, physical health index, etc. . Conduct a simple assessment of physical fitness, provide personalized health management plans, promptly identify the risk of disease, and remind users to pay attention to their own health and safety. The current applications of artificial intelligence technology in health management are mainly in risk identification, virtual nurses, mental health, online consultation, health intervention and health management based on precision medicine. Especially in terms of blood sugar management, blood pressure management, medication reminders, health factor monitoring, etc., artificial intelligence technology can provide normalized and refined guidance, and provide all-round, full-cycle health services for specific groups. These will not only help strengthen disease prevention and improve the efficiency of chronic disease management, but also enhance public health concepts and fundamentally save the entire society's medical costs.

It can be seen from the above five aspects that artificial intelligence technology is showing its talents in the medical field; this will make people's medical health more efficient, convenient and personalized, and its promotion The researchers are mainly scientific and technical personnel who have been working hard in the medical and health industry for many years. What is certain is that the vigorous development of artificial intelligence technology has promoted the progress and development of medicine, opened up a vast space for precision medicine and public health, and enhanced human confidence and courage to defeat various diseases.

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