Hottest artificial intelligence helps health manag

2022-08-01
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Artificial intelligence helps health management

[phenomenon] not long ago, the first blue book on Artificial Intelligence: China's medical artificial intelligence development report (2019) was officially released with an optimistic spirit that the energy used accounted for about 12% of the total energy consumption of the national economy. The report shows that the cutting-edge technology of artificial intelligence is rapidly integrating into medical treatment. Big data and artificial intelligence will be used to accurately identify early lesions in medical images, locate pathogenic genes and carry out corresponding targeted treatment, as well as early warning of major health risks

[comments] since its birth, artificial intelligence has been inseparable from medicine. Based on the research results of neurophysiology and neuroanatomy, "realizing human level intelligence" can be said to be the initial dream of researchers in the field of artificial intelligence. In reality, the continuous deepening of medical research has opened a new dimension for the development of artificial intelligence; the technological innovation and application expansion of artificial intelligence have also had a profound impact on the medical industry

nowadays, AI technology has gone deep into all aspects of medical fields such as clinical auxiliary diagnosis, medical imaging, brain science and even traditional Chinese medicine. Taking medical imaging as an example, at present, artificial intelligence has been successfully applied to lung diseases, breast diseases, nervous system diseases, cardiovascular system diseases, etc. With the help of artificial intelligence algorithm rooted in the data of hydrostatic transmission device of large friction and wear testing machine, doctors can significantly improve the efficiency of disease screening and diagnosis, and provide reliable assistance for scientific treatment plan

in addition, in the process of new drug research and development, the use of deep learning can also greatly shorten the research and development cycle, control the research and development cost, and better benefit patients. In some large hospitals, new medical robots are resident in wards and play a unique role in disease monitoring and patient care. It can be said that the rapid development of artificial intelligence has greatly improved the medical productivity

the application of big data and artificial intelligence in the medical field has also promoted the change of medical service mode and health management concept. Nowadays, people do not have to go to the hospital often to manage their daily health. Through intelligent wearable devices and home intelligent health detection and monitoring devices, it can dynamically monitor health data in real time and accurately grasp personal health conditions. In particular, in terms of blood glucose management, blood pressure management, medication reminders, health factor monitoring, etc., artificial intelligence can provide normalized and refined guidance to provide comprehensive and full-cycle health services for specific groups. These will not only help to strengthen disease prevention and improve the efficiency of chronic disease management, but also enhance the public's health concept and fundamentally save the medical costs of the whole society

the vigorous development of artificial intelligence has promoted the progress of basic medical research, opened up a broad space for medical treatment where the working chamber volume of the precision climate environment test box should be at least 3 ~ 5 times the external volume of the tested product, and enhanced human confidence in overcoming various diseases. However, it should also be recognized that although people are entering a big data era, the occurrence of diseases is not a probability process, but there are specific causes. For doctors, if they blindly believe in new technologies and universal solutions, they may be misled by big data and ignore the specific circumstances of specific patients. This also enlightens us that it is difficult to completely separate the cognition and application of medicine

in a sense, treatment should become an art for specific patients. The application of artificial intelligence in the medical field is increasingly attracting more industrial investment. In the context of a new round of scientific and technological revolution and industrial reform, only based on clinical prevention and treatment, making full use of favorable conditions in all aspects, and actively developing personalized therapies that vary from person to person, can precision medicine benefit more people

people's daily (version 11, April 26, 2019)

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