The intelligent application team of medical data led by Professor Xia Huimin from Guangzhou Women and Children Medical Center and Professor Zhang Kang from University of California, San Diego, and the artificial intelligence research and transformation institution jointly developed the "Auxiliary Diagnosis Bear" artificial intelligence diagnosis platform. By automatically learning the diagnosis logic of 1.36 million high-quality electronic medical records from 567, children patients, it was applied to diagnose a variety of common pediatric diseases, and its accuracy was equivalent to that of experienced pediatricians.
A few days ago, the internationally renowned medical research journal Nature Medicine published this research achievement online, and the article was entitled "Using Artificial Intelligence to Evaluate and Accurately Diagnose Pediatric Diseases". Some experts believe that this marks the arrival of the era of artificial intelligence system simulating human doctors to diagnose diseases.
"Gold ophthalmology, silver surgery, so-so obstetrics and gynecology, never do pediatrics", which has been popular among doctors for many years, is a vivid portrayal of the shortage of pediatricians. Many young parents have experienced the anxiety of taking their children to the children's hospital for long queues. Pediatricians have a heavy workload, and most of them are common diseases. If a large number of "robot pediatricians" are online, the long-standing shortage of pediatricians will be greatly alleviated. Moreover, the "robot pediatrician" who can "read" medical records and recommend diagnosis does not choose the living area or the big or small hospitals, which is also very helpful for the balance of medical resources. If the research results are put into use in large quantities, it is of great significance.
In recent years, the extensive use of artificial intelligence, internet plus and big data in the medical industry is bringing subversive changes to the medical industry. Robots that can perform orthopedic surgery can screen diseases by taking only ten eye photos, and can repair patches through 3D printing, and cross-regional, multi-institutional, multi-disciplinary and multi-expert remote consultation platforms ... More and more new technologies are involved in the medical industry, leading the new development of medical technology, and will also reconstruct the existing medical pattern.
Guangzhou is a medical center in South China with rich medical resources. Last year, there were 11 hospitals in Guangzhou * * * on the List of Top 1 Hospitals in China. Numerous top hospitals have created Guangzhou's superior medical competitiveness. If the traditional medical center depends on having more big hospitals and good doctors, the future will be more reflected in the competition of medical science and technology strength. In order to build a strong health city and a medical highland, Guangzhou must continue to exert its strength in the innovation of science and technology+medical care.
In recent years, Guangzhou has carried out a number of key projects in the fields of biomedicine, high-end medical equipment, stem cells and regenerative medicine, precision medicine and genetic examination. Baekje Shenzhou, Guangzhou Green Leaf Life Science Industrial Park, GE Biotechnology Park, Guangzhou Harvard Medical Science and Technology Innovation Center Project, Thermo Fisher Scientific Precision Medical Customer Experience Center and Cold Spring Port Guangzhou Biomedical Industry Fund have successively landed in Guangzhou. In June 218, nine projects, including the medical big data center project, were signed in Guangzhou. It is conceivable that science and technology+medical care will greatly enhance Guangzhou's medical research strength and become a powerful boost for Guangzhou's future medical highland construction.
(Tan Min)