Realtime Support for Lesion Detection

• Product Details

  Realtime Support for Lesion Detection

  Images captured during a colonoscopic examination are analyzed in real time with AI technology. Whenever a potential lesion such as a polyp or cancer is detected, the unit immediately sounds an alert and flashes a warning color on the display.

  Powerful machine learning based on endoscopic images extracted from movie data achieves colon lesion detection with 98.3% sensitivity and 93.0% specificity^*1, supporting highly accurate diagnosis.