AI-assisted Endoscopic Ultrasound Grading of Early Esophageal Cancer Invasion Depth: A Multicenter, Prospective, Randomized Cohort Study
- Age
- 18 and older
- Sex
- Any
- Study type
- Interventional
- Purpose
- Diagnostic
- Participants needed
- 200 (estimated)
- Sponsor
- Fujian Provincial Hospital · Other
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Check Your EligibilityThis study mainly uses an artificial intelligence system to assist in the classification of the depth of invasion of early esophageal squamous cell carcinoma under ultrasound endoscopy, providing a basis for preoperative T staging and diagnosis and treatment decisions.
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