This software connects with existing endoscopy equipment as part of using AI to automatically mark potential lesions from images taken during endoscopic procedures. By simply connecting an existing endoscope to a monitor and terminal equipped with the software, users can start using it immediately. Going forward, as a company that creates social value, NEC aims to promote a healthy, and sustainable society, where individuals can thrive from the utilization of advanced IT technologies. (Shown in Graphic 2) (*1) According to statistics from the National Cancer Research Center Japan (Japanese text only) https://ganjoho.jp/reg_stat/statistics/stat/summary.html (*3) Rex DK, Cutler CS, Lemmel GT, et al. Colonoscopic miss rates of adenomas determined by back-to-back colonoscopies. 1997;112(1):24-28 (*4) Yamada M, Saito Y, Imaoka H, et al. Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy.
- Virtualization & Network Resources
- ERP & Process Management
- Point of Sale (POS)