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

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

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