Introduction: Adenoma detection rate (ADR) is the most important quality indicator for colonoscopy and is directly associated with reduced colorectal cancer risk. Although randomized trials have shown that artificial intelligence–based computer-aided detection (CADe) improves ADR, its effectiveness in routine clinical practice has remained uncertain.
Introduction:
Adenoma detection rate (ADR) is the most important quality indicator for colonoscopy and is directly associated with reduced colorectal cancer risk. Although randomized trials have shown that artificial intelligence–based computer-aided detection (CADe) improves ADR, its effectiveness in routine clinical practice has remained uncertain. This large real-world quality improvement study evaluated the impact of CADe implementation across the Veterans Health Administration.
Why was this study needed?
Results:
Clinical Impact:
This large real-world study confirms that AI-assisted colonoscopy improves adenoma detection outside clinical trials and benefits both average and high-performing endoscopists. These findings support broader implementation of CADe as a quality improvement tool to enhance colorectal cancer prevention.
Bottom Line:
Computer-aided detection (CADe) improves adenoma detection in everyday clinical practice regardless of baseline endoscopist performance. AI is becoming an effective quality-enhancement tool that complements, rather than replaces, the expertise of the endoscopist.
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