NCT04131530

Automatic Evaluation of Inflammation Activity in Ulcerative Colitis Using pCLE With Artificial Intelligence

Automatic Evaluation of Inflammation Activity in Ulcerative Colitis Using Probe-based Confocal Laser Endomicroscopy With Artificial Intelligence

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 60 (estimated)
• Sponsor: Shandong University · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

Probe-based confocal laser endomicroscopy (pCLE) is an endoscopic technique that enables to evaluate the inflammation activity of ulcerative colitis with excellent correlation with histopathology. However this requires much experience, which limits the application of pCLE. The investigators designed a computer-aided diagnosis program using deep neural network to make diagnosis automatically in pCLE examination and contrast its performance with endoscopists.

Conditions

• Ulcerative Colitis
• Artificial Intelligence
• Confocal Laser Endomicroscopy

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	The diagnosis of Artificial Intelligence and endoscopist	When the colon mucosa is observed using pCLE, endoscopist and AI will make a diagnosis independently. In addition, the endoscopist can not see the diagnosis of AI.

Timeline

• Start date: 2019-10-01
• Primary completion: 2019-12-01
• Completion: 2019-12-01
• First posted: 2019-10-18
• Last updated: 2019-10-18

Locations

1 site across 1 country: China