2019 National Chung Cheng University Social Responsibility and Sustainability Report section 2.4.2 page 19 highlights the following event as Good Health and Well-being to achieve the SDGs.
Esophageal cancer is not easy to detect in the early stage, and the detection effect is insufficient; it is usually too late while the cancer is confirmed. Wang Xiangchen, a mechanical engineering professor at Chung Cheng University, worked with doctors at the Kaohsiung Medical University Chung-Ho Memorial Hospital to analyze pathological images. Then the Chung Cheng team proposed a set of ""identification of intraesophageal visual imaging features analysis method ""to identify cancer changes and point out the stage of esophageal cancer. The technical accuracy rate is as high as 85%. In addition to having obtained patent benefits from Taiwan and the United States, the essay is also published in the international journal science report. It is also combining AI and looking forward to assisting doctors in consultation and consulting doctors in time.