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Area of Science:

  • Gastroenterology and Medical Technology
  • Artificial Intelligence in Healthcare

Background:

  • Colorectal cancer is a major global health concern, ranking third in incidence worldwide.
  • Current colonoscopy surveillance misses approximately 25% of colorectal malignancies.
  • Existing endoscopic technologies have not significantly improved polyp detection rates.

Purpose of the Study:

  • To review the initial clinical experiences with a novel artificial intelligence (AI) system.
  • To evaluate the first US FDA-approved, real-time, deep-learning, computer-aided detection (CADe) system for colonoscopy.

Main Methods:

  • Review of clinical data and experiences with the GI Genius™ system.
  • Focus on the system's real-time, AI-driven polyp highlighting capabilities during colonoscopy.

Main Results:

  • The GI Genius™ system is the first FDA-approved real-time AI tool for colonoscopy.
  • AI demonstrates potential to assist endoscopists by highlighting regions of interest for polyp identification.

Conclusions:

  • Artificial intelligence offers a promising advancement in endoscopic surveillance for colorectal cancer.
  • Early clinical experiences suggest AI-powered CADe systems can aid in improving polyp detection rates.