Condition: Intestinal Metaplasia of Gastric Mucosa · Artificial Intelligence · Endoscopy · Sponsor: Qilu Hospital of Shandong University
The endoscopic grading system (EGGIM) has been widely used to assess the extent of gastric intestinal metaplasia during endoscopy. Investigators developed an artificial intelligence (AI) system to automatically evaluate the extent of gastric intestinal metaplasia (GIM) and calculate the EGGIM scores in endoscopy examination. This study is a prospective, multi-center study aimed at exploring the performance and reliability of AI-EGGIM scoring. This is a prospective study designed to validate the AI-EGGIM system in a larger cohort. The study protocol was developed based on preliminary experience from a prior investigation (NCT05464108).
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| Qilu Hospital of Shandong University | Jinan, Shandong, China | Recruiting |
| Shandong First Medical University First Affiliated Hospital | Jinan, Shandong, China | Not Yet Recruiting |
| Shandong Second Provincial General Hospital | Jinan, Shandong, China | Not Yet Recruiting |
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Source record: clinicaltrials.gov/study/NCT07257796