A new single-operator study in Cureus throws a curveball at the AI-in-endoscopy hype: when a high-volume, expert endoscopist turned on real-time polyp-detection (GI Genius™), adenoma and polyp detection rates didn’t budge (ADR 35% pre-AI vs 31% with AI; NS). Yet the AI era shaved over a full minute off average withdrawal time (9.34 vs 10.44 minutes), hinting at a quiet efficiency dividend without sacrificing core quality metrics.
Translation: for seasoned colonoscopists already performing at a high ADR, AI looks less like a magic booster and more like a workflow accelerator. The intriguing play may be targeted deployment—use AI to lift novices and low-ADR outliers, or to squeeze more throughput in busy units—rather than assuming universal gains in detection for experts.