sefulness of computer-aided detection using artificial intelligence for esophageal squamous cell carcinoma in esophagogastroduodenoscopy
Not Applicable
- Conditions
- esophageal squamous cell carcinoma
- Registration Number
- JPRN-UMIN000049887
- Lead Sponsor
- agoya University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 165
Inclusion Criteria
Not provided
Exclusion Criteria
Patients who are deemed inappropriate as research subjects by the principal investigator Patients who are incapable of consenting Patients who will not be treated at their own institution Patients after radiation or radiochemotherapy for esophageal squamous cell carcinomas, radiation for head and neck cancers, esophagectomy, recurrence after treatment, advanced esophageal cancers, or adenocarcinoma of the esophagus
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method