Artificial Intelligence for Determination of Gastroscopy Surveillance Intervals

Trial Title: Artificial Intelligence for Determination of Gastroscopy Surveillance Intervals

NCT ID: NCT05631015

Condition: Helicobacter Pylori Infection
Atrophic Gastritis
Intestinal Metaplasia
Low Grade Intraepithelial Neoplasia
High Grade Intraepithelial Neoplasia
Early Gastric Cancer
Gastric Cancer

Conditions: Official terms:
Stomach Neoplasms
Neoplasms
Carcinoma in Situ
Gastritis
Gastritis, Atrophic
Metaplasia

Study type: Observational

Overall status: Unknown status

Study design:

Time perspective: Retrospective

Intervention:

Intervention type: Other
Intervention name: AI recongnize disease and generate recommendations
Description: 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.
Arm group label: Artificial Intelligence support decision group

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

Criteria for eligibility:

Study pop:
patients who came to Qilu Hospital of Shandong University and received endoscopy examination but not therapeutic endoscopy

Sampling method: Non-Probability Sample
Criteria:
Inclusion Criteria: - Patients aged 18 - 80 years - Patients underwent endoscopic examination Exclusion Criteria: - Patients with the contraindications to endoscopic examination - Patients with imcomplete examination information - Patients undergo endoscopy for therapy - Patients have history of upper gastrointestinal surgery - Patients with duodenal or Laryngeal neoplasms - Patients with gastrointestinal submucosal tumor

Gender: All

Minimum age: 18 Years

Maximum age: 80 Years

Locations:

Facility:
Name: Qilu Hospital, Shandong University

Address:
City: Jinan
Zip: 250012
Country: China

Start date: January 1, 2012

Completion date: December 31, 2023

Lead sponsor:
Agency: Xiuli Zuo
Agency class: Other

Source: Shandong University

Record processing date: ClinicalTrials.gov processed this data on November 12, 2024

Source: ClinicalTrials.gov page: https://clinicaltrials.gov/ct2/show/NCT05631015