Artificial intelligence-augmented small bowel capsule endoscopy for coeliac disease: a literature review on accuracy, workflow, and safety

Key Points

AI-augmented small bowel capsule endoscopy improves efficiency and consistency for coeliac disease detection, enhancing patient outcomes and monitoring.
Safety protocols, particularly patency testing, are critical to mitigate retention risk during SBCE procedures in coeliac disease.
The literature review highlights the importance of calibrated thresholds for serology-negative presentations in diverse populations, enhancing overall diagnostic equity.
Implementation may require a human-in-the-loop approach, balancing automation benefits with essential safety measures.

Abstract

AI-augmented SBCE can improve efficiency, consistency, and monitoring of CeD; however, adoption should remain human-in-the-loop and be anchored to safety protocols, including patency testing when retention risk is relevant. Equity considerations include serology-negative presentations in some populations and the need for calibrated thresholds aligned with real-world prevalence and costs.

Artificial intelligence-augmented small bowel capsule endoscopy for coeliac disease: a literature review on accuracy, workflow, and safety

Key Points

Abstract

Cite This Study