NCT03787784

Automatic Classification of Colorectal Polyps Using Probe-based Endomicroscopy With Artificial Intelligence

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 200 (estimated)
• Sponsor: Shandong University · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Accepted

Summary

Probe-based confocal laser endomicroscopy (pCLE) is an endoscopic technique that enables real-time histological evaluation of gastrointestinal mucosa during ongoing endoscopy examination. It can predict the classification of Colorectal Polyps accurately. However this requires much experience, which limits the application of pCLE. The investigators designed a computer program using deep neural networks to differentiate hyperplastic from neoplastic polyps automatically in pCLE examination.

Conditions

• Probe-based Confocal Laser Endomicroscopy
• Artificial Intelligence
• Colorectal Polyps

Interventions

Type	Name	Description
OTHER	AI presentation	Automatic diagnosis information of AI is visible to endoscopist

Timeline

• Start date: 2018-05-01
• Primary completion: 2019-01-30
• Completion: 2019-03-30
• First posted: 2018-12-26
• Last updated: 2018-12-26

Locations

1 site across 1 country: China