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Personalised Health Recommendations to the General Population Through an Integrated AI Guided

Personalised Health Recommendations to the General Population Through an Integrated AI Guided

Recruiting
18 years and older
All
Phase N/A

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Overview

This clinical study aims to be used to implement and validate the AIDA tool in two phases:

  • Phase 1: Risk stratification and personalised recommendations & Model development
  • Phase 2: Mechanistic Model (Bioresource) development & testing

Description

The AIDA objective (project) is to develop and validate a multidisciplinary AI-powered assistant that helps clinicians diagnose precancerous inflammation, suggests personalised therapeutic strategies for medical treatment and follow-up, and makes personalised recommendations for monitoring patient health status, thus contributing to gastric cancer prevention. This prospective clinical study aims to implement and validate such tool.

Eligibility

Inclusion Criteria:

  • Subjects ≥ 18 years old with a diagnosis of GIM or previous or current H. pylori infection, to whom a gastroscopy is indicated within clinical care
  • Availability of a signed informed consent form to participate in the study

Exclusion Criteria:

  • Patients to whom an endoscopy is performed for the follow-up of another illness such as oesophageal varices and/or for therapy such as endoscopic dilation, feeding tube placement or endoscopic resection
  • Subjects with a clinical diagnosis of gastric diseases other than GIM or GC
  • Patients who have received antimicrobials during the four weeks prior to the endoscopy
  • Patients who have received proton pump inhibitors and/or bismuth-based treatments at least two weeks prior to the endoscopy
  • Subjects for whom clinical data are not available: H. pylori status, eradication treatment, sex, age, tobacco smoking, and first-degree family history of gastric cancer
  • Subjects who lack the mental capacity to understand the nature and requirements of the study and who lack the ability to give informed consent

Study details
    Gastric Cancer
    Cancer Prevention
    Helicobacter Pylori Infection
    Artificial Intelligence

NCT06421324

Fundación para la Investigación del Hospital Clínico de Valencia

15 October 2025

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