AnX in The Lancet | The insights

AI-assisted capsule endoscopy reading in suspected small bowel bleeding: a multicentre prospective study

Recent findings published in The Lancet highlight ProScan's revolutionary impact on small bowel capsule endoscopy. This multicentre study shows that ProScan significantly enhances lesion detection while reducing the average reading time from 33.7 minutes to just 3.8 minutes, boosting clinical workflow efficiency.

Spanning 14 European centers with 133 subjects, this research validates ProScan's scalability and effectiveness in diverse clinical settings. See how integrating NaviCam SB with ProScan is transforming diagnostic processes, improving accuracy, and enhancing healthcare efficiency.  

The insights

Enhanced Lesion Detection

AI assistance significantly enhances lesion detection rates, identifying 87.9% of P1 and P2 lesions compared to 64.8% with standard methods. This accuracy extends to detecting P2 lesions specifically, with an 87.8% success rate versus 79.7%.

Dramatic Time Reduction

ProScan reduces average reading times for small bowel analyses from 33.7 minutes to just 3.8 minutes. This near 90% decrease dramatically enhances clinical workflow efficiency and lessens physician workload.

Multicenter Validation

The first multicenter prospective study on AI in small bowel video capsule endoscopy spanned 14 European centres and involved 133 subjects, confirming ProScan’s effectiveness accross various clinical environments.

Streamlining Endoscopy Analysis

ProScan streamlines capsule endoscopy by automating the identification of relevant findings, reducing the number of images that need manual review. This innovation not only speeds up diagnosis but also enhances accuracy by minimizing human error.

Supporting Clinical Decision Making

Integrating NaviCam SB with ProScan revolutionizes the diagnostic process for small bowel bleeding, delivering more accurate and faster readings. This integration greatly benefits patient management and enhances healthcare efficiency.

More info

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