Now people go to the hospital to see a doctor. If the condition is a little more complicated, the doctor will let him take a "film". These films are the physical screenshots of the individual patients. They are abstract and can only be read by doctors who have been trained for many years. The general imaging doctors have been trained in the school for five years, and they have to be trained in the hospital imaging department for many years to have independent diagnostic ability. This brings about a problem. The better the education, the more experienced the doctors are, the more accurate the doctors are. They are willing to go to famous hospitals to find famous doctors. However, China has a large population. The resources of good doctors are limited. It is very difficult to get the best diagnosis for everyone. It is very difficult to diagnose under the existing doctor experience. .
How to solve this problem, a few days ago, in the "artificial intelligence + medical " sharing session of Titanium Media, Hisense Medical Dr. Chen Yongjian shared the artificial intelligence medical technology for precision assistance. Artificial intelligence technology that relies on deep learning and big data analysis can not only provide effective help, but even better diagnostic results than the most experienced doctors.
Dr. Chen Yongjian said that in traditional surgical treatment, the biggest challenge for doctors is to judge the size of the lesion and the positional relationship of the border, organs and blood vessels according to CT and other imaging data, just like "guessing" the position of the items in the black box, and automatically based on artificial intelligence. The construction of three-dimensional lesion images can accurately and intuitively display the positional relationship of organs, lesions, blood vessels, etc., and assist doctors to make accurate judgments. At the same time, according to historical data statistics, artificial intelligence technology can accurately recommend surgical plans and plan optimal surgical paths.
This kind of artificial intelligence-based computer-assisted surgery system is not in the theoretical stage. At present, Hisense computer-assisted surgery system is based on artificial intelligence, using a deep learning algorithm similar to Alpha Go, combined with doctor diagnosis and surgical operation to effectively improve diagnosis. Efficiency and success rate of surgery. In the past, the surgical cure rate of only 5% of the hilar tumors can now reach 70% of the cure. At present, Hisense computer-assisted surgery system has been used clinically in more than 30 top three hospitals in China, such as Tsinghua Chang Gung Memorial Hospital, Fudan University Affiliated Pediatric Hospital, and Qingdao University Affiliated Hospital. More than 1,000 cases have been completed.
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