Human–Artificial Intelligence Collaboration: Insights and Lessons from Colonoscopy Artificial Intelligence Integration

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The integration of artificial intelligence (AI) in health care, particularly in colorectal cancer screening, represents a transformative advancement in medical diagnostics. This commentary explores the development and deployment of AI platforms in colonoscopy, highlighting the critical role of human–AI interaction and the valuable lessons learned throughout this journey. We discuss the challenges of integrating AI into clinical settings, including the necessity for robust AI validation, transparency, and accountability. Key insights from our experience emphasize the importance of effective human–AI collaboration to enhance diagnostic accuracy and procedure quality. This commentary aims to share critical insights that can guide future AI applications in various medical disciplines.