Trials / Completed
CompletedNCT03784209
Automatic Real-time Diagnosis of Gastric Mucosal Disease Using pCLE With Artificial Intelligence
Automatic Real-time Diagnosis of Gastric Mucosal Disease Using Probe-based Confocal Laser Endomicroscopy With Artificial Intelligence
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 951 (actual)
- 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 real-time histological evaluation of gastric mucosal disease during ongoing endoscopy examination. 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
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | The diagnosis of Artificial Intelligence and endoscopist | When suspected lesion 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
- 2018-07-01
- Primary completion
- 2021-09-29
- Completion
- 2021-09-29
- First posted
- 2018-12-21
- Last updated
- 2022-04-01
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT03784209. Inclusion in this directory is not an endorsement.