Trials / Unknown
UnknownNCT05631015
Artificial Intelligence for Determination of Gastroscopy Surveillance Intervals
Development and Validation of Gastroscopy Surveillance Recommendations Based on Natural Language Processing for Patients With Gastric Cancer and Precancerous Diseases
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 2,000 (estimated)
- Sponsor
- Xiuli Zuo · Academic / Other
- Sex
- All
- Age
- 18 Years – 80 Years
- Healthy volunteers
- —
Summary
The purpose of this study is to develop and validate a clinical decision support system based on automated algorithms. This system can use natural language processing to extract data from patients' endoscopic reports and pathological reports, identify patients' disease types and grades, and generate guidelines based follow-up or treatment recommendations
Conditions
- Helicobacter Pylori Infection
- Atrophic Gastritis
- Intestinal Metaplasia
- Low Grade Intraepithelial Neoplasia
- High Grade Intraepithelial Neoplasia
- Early Gastric Cancer
- Gastric Cancer
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | AI recongnize disease and generate recommendations | According the endoscopic reports and pathological reports, the decision support system recognise patients' disease types and grades, and generate guidelines based survilliance or treatment recommendations. |
Timeline
- Start date
- 2012-01-01
- Primary completion
- 2022-10-31
- Completion
- 2023-12-31
- First posted
- 2022-11-30
- Last updated
- 2022-11-30
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT05631015. Inclusion in this directory is not an endorsement.