AI Article Synopsis
- Colon capsule endoscopy (CCE), introduced in 2006, allows visualization of the colon but initially struggled with low completion rates and image quality.
- Recent advancements in technology and bowel preparation have improved CCE's effectiveness, making it a useful complement to traditional colonoscopy.
- Ongoing research in artificial intelligence aims to enhance diagnostics and staging, which could further elevate CCE's performance in polyp detection.
Article Abstract
Colon capsule endoscopy (CCE) was introduced in 2006 as a novel way to visualise the colonic mucosa. Initially, CCE validity was limited by low completion rates (CR) and poor image quality. Through technical progress and improved bowel preparations, CCE now offers an adjunct to diagnostic colonoscopy. As referred in this review, several studies have shown promising results regarding polyp detection rates by the use of CCE. Improvements in CR and quality of bowel preparation are needed for CCE to be on a par with conventional colonoscopy. Research in artificial intelligence is evolving to aid in diagnostics and staging using CCE.
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