Colonoscopy articles from across Nature Portfolio

Colon capsule endoscopy (CCE) is used for restricted indications only. Growing demand for out-of-hospital treatment combined with technical and clinical improvements in quality has made a wider use plausible. Artificial intelligence-supported footage analysis and quality assessment might further improve quality and reduce the price of CCE to a competitive level.

Colorectal cancer screening has a large potential to reduce incidence and mortality, and screening programmes have been implemented in many countries and regions. Emerging epidemiological trends and evidence on the effectiveness and cost-effectiveness of various screening options call for regular updates of screening recommendations.

Artificial intelligence (AI) has the potential to change many aspects of health-care practice. Two newly published trials explore the potential applications of AI to improve polyp detection and mucosal visualization in gastrointestinal endoscopy — both show the benefits of AI to improve detection in gastrointestinal endoscopy.

A deep-learning algorithm enables the real-time video-based recognition of polyps during colonoscopy, with sensitivities and specificities surpassing 90%.