AI opens a new era of medical health
In recent years, artificial intelligence technology has made breakthrough progress. With the increasing application of artificial intelligence, "artificial intelligence +" has become a trend, and more and more industries have promoted their own transformation and upgrading through the "energy" of artificial intelligence. Medical health is a major concern of people. The widespread application of artificial intelligence in the field of medical and health is a big vision of people. The positive change that artificial intelligence brings to medical health is a big surprise that people can directly perceive. In today's information society, the development of medical and health care is inseparable from the collection, organization, development and utilization of medical health big data. Medical health big data covers human health, human anatomy and pathology, genetics, disease diagnosis and treatment, and medicine and food. All kinds of medical health big data already exist in real life. Only through better mining and application of these massive data can we continuously discover and grasp the changing laws and development directions in the medical and health fields. Artificial intelligence with deep learning ability is a powerful weapon for people to acquire knowledge from massive data. Artificial intelligence is gradually showing its advantages in big data-based healthcare applications. Medical health big data is not only large, large, but also complex. Due to the rapid development of new information and communication technologies such as mobile Internet and Internet of Things, the amount of data generated by different terminal devices has become increasingly large. However, most of these data are unstructured data derived from text, images, video, etc., which need to be interpreted by artificial intelligence. Artificial intelligence can not only identify a large amount of unstructured data, but also cross the limitations of human cognition, and screen out key information that is submerged in massive data to provide data insight. Using the skills of cognitive intelligence and deep learning of artificial intelligence, a "robot doctor" can be cultivated. "Robot Doctor" can continuously access a large number of medical reference books, medical journals, clinical diagnostic manuals, medical electronic records (electronic medical records, diagnostic imaging, prescriptions, genomic data, insurance records, data on wearable devices, etc.), and encyclopedia The electronic medical records mentioned in the book, dictionary, books, news and even screenplays are machine-learned, and all kinds of latest medical knowledge are stored in time. More importantly, the “robot doctor†can learn and use it. With the massive data collected from various channels, it can quickly give judgments and “opinions†to guide medical staff to make diagnosis and treatment decisions, and not because of various kinds of people. Limitations lead to missed diagnosis or misdiagnosis, patients can get medical health services faster, and health care institutions can save costs. Artificial intelligence provides medical professionals with more accurate diagnosis advice and personalized treatment plan recommendations, rationally arrange medical procedures, effectively improve the efficiency and automation of health care services, and make patient visits more convenient. Patients can complete health checks faster and get a clearer picture of their health. The application of artificial intelligence in the field of medical and health is not limited to general medical treatment, and is expected to be extended to “future applications†such as genetic analysis and precision medicine . The “precision†of precision medicine is based on data (mainly genetic data). Many diseases, especially rare ones, can find the key to solving problems by looking for minor changes in the genes. This "finding" requires a huge amount of computation. It is almost unthinkable to complete such a huge amount of computation before the deep learning of artificial intelligence. However, with the development of artificial intelligence deep learning technology, the computational processing system with deep learning ability can continuously train through the existing data, find the law in the chaotic big data, and successfully realize the early detection and early diagnosis of some rare diseases. Soft Comfortable Dressing,Breathable Dressing,Silicone Dressing,Custom Hydrocolloid Dressing Zhende Medical Co.,Ltd , https://www.zhendemedicals.com