Yitu Published Cooperated Paper Of Pediatric Diseases Using AI On Nature
February 11, 2019, Yitu Technology has published its cooperated paper named Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence on Nature Medicine.
On February 11, 2019, Yitu Technology (依图科技) has published its cooperated paper named Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence on Nature Medicine, the leading science and technology journalist worldwide. The authors are Huiying Liang, Brian Tsui, Hao Ni, Carolina C. S. Valentim, Sally L. Baxter and Guangjian Liu. The related contributors are Hangzhou Yitu Healthcare Technology, Guangzhou Women and Children’s Medical Center, and University of California San Diego. This paper shows that Yitu Technology is improving its international influence gradually by cooperating with top specialists in China and the United States. Also, this shows Yitu Technology is doing the research of medication using artificial intelligence and is leading the technology in the industry worldwide.
By analyzing 101.6 million data points collected from 1,362,559 pediatric patient visits, Yitu Technology and its partners create the model and specifically state the process. The model applies an automated natural language processing system, Yitu Technology and its partners use deep learning techniques to extract the clinical data. This model is quite precise, the diagnostic accuracy reaches about 90% whilst diagnosing more than 50 species of pediatric diseases, which is already more accurate than the junior pediatrician. This research result shows that this investigation can be very useful to those places that require artificial intelligence assistance to increase the accurate rate of diagnosing. Moreover, the paper releases the method how Yitu Technology and its partners are creating the model, and implementing an AI-based system which can be promoted and used in other areas of healthcare.
Founded in 2012, Yitu Technology is a Chinese artificial intelligence company which focuses on computer vision, and its goal is to build a safer, faster and healthier world. With efforts put in the medical imaging industry, this paper published on Nature is not its first achievement in medical industry. November 2019, Yitu releases the world's first full range AI-based cancer screening solutions at the Radiological Society of North America's Annual Meeting.
China’s medical industry has the issue of imbalance in different areas. Hence, the difference in the medical industry could apply a chance for the artificial intelligence to develop in China. The demand could increase the need of artificial intelligence. Yitu Technology can have a better opportunity to develop its technology in China. Also, China would offer more data for Yitu Technology’s further development.