(Yicai Global) June 29 -- As the developments concerning artificial intelligence (AI) fast progress, one of the most often asked questions is which professional group, if any, would first be on the losing side. Some earlier suggestions pointed fingers to doctors. However, the challenge came from a scientist from one of China's most prestigious universities, Tsinghua University in Beijing.
"It is said that the doctors will be unemployed if artificial intelligence could make a diagnosis based on medical big data. In fact, the doctors will be committed to personalized treatment service in the future as the machine is unable to replace doctors in providing humanistic care," Lu Bai, professor at the School of Medicine, Tsinghua University, and editor-in-chief of WeChat public account "The-Intellectual," told Yicai Global in an interview during the Annual Meeting of New Champions 2017.
As an internationally renowned expert in brain science research, Lu Bai has always been concerned about the development of artificial intelligence, and has offered a course named "Brain Science and Artificial Intelligence" in Tsinghua. "By offering this course, I can also learn something," he joked.
Lu Bai pointed out that the development of artificial intelligence has three supporting pillars: algorithms, large-scale cloud computing capacity and big data. "There are currently no big data in the medical field. What the government and all walks of life need to do is to make efforts toward establishing medical-related, high-quality and shareable data," he said.
When it comes to the application of artificial intelligence in the medical field, artificial intelligence can be applied first in the registration, dispensing and payment and other processes, professor Lu believes. The application of artificial intelligence in the payment process will come true soon, yet the sharing of electronic medical records requires legislation first. In other words, how to use and share personal information should be subject to the law.
Lu Bai also revealed that there has been a new breakthrough in artificial intelligence diagnosis, and the efficiency of treatment will be greatly enhanced if it is proved that the diagnosis accuracy of artificial intelligence can match that of doctors.