Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma

Shandong University119 enrolled

Overview

Esophageal squamous cell carcinoma is one of the most common malignant tumor of upper digestive tract. However, the detection rate and diagnosis accuracy of early esophageal squamous cell cancer is low. The aim of this study is to develop a computer-assisted diagnosis tool combining with optical magnifying endoscopy for early detection and accurate diagnosis of it.

Study Type

OBSERVATIONAL

Enrollment

119

Conditions

Artificial Intelligence Optical Enhancement Endoscopy Magnifying Endoscopy

Interventions

AI presentationOTHER

AI presentation means the automatic diagnosis information of AI and AI presentation means it is visible in the group.

no AI presentationOTHER

AI presentation means the automatic diagnosis information of AI and no AI presentation means it is invisible in the group.

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * high risk patients for esophageal cancer aged 18 years or older; * Histologically verified early esophageal squamous cell cancer. Exclusion Criteria: * patients whose images of esophagus not suitable for the training, validation and testing the computer-assist diagnosis tool.

Locations (1)

Department of Gastroenterology, Qilu Hospital, Shandong University

Jinan, Shandong, China

Outcomes

Primary Outcomes

the diagnosis efficiency of the AI model

the sensitivity, specificity and accuracy of the AI model

Time frame: 12 months

Data from ClinicalTrials.gov

This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.