Artificial Intelligence, Magnifying Endoscopy, Optical Enhancement Endoscopy
Conditions
Brief summary
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.
Interventions
OTHERAI presentation
AI presentation means the automatic diagnosis information of AI and AI presentation means it is visible in the group.
OTHERno AI presentation
AI presentation means the automatic diagnosis information of AI and no AI presentation means it is invisible in the group.
Sponsors
Shandong University
Study design
Observational model
OTHER
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| the diagnosis efficiency of the AI model | 12 months | the sensitivity, specificity and accuracy of the AI model |
Countries
China
Outcome results
None listed