Development of an artificial intelligence system (Version2) using deep learning to indicate anatomical landmarks during laparoscopic gastrectomy
Not Applicable
- Conditions
- gastric cancer
- Registration Number
- JPRN-UMIN000049977
- Lead Sponsor
- Department of Gastroenterological and Pediatric Surgery, Oita University Faculty of Medicine
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 10
Inclusion Criteria
Not provided
Exclusion Criteria
1)BMI over 30 2)History of gastrectomy 3)Severe mental disease.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Improved accuracy of laparoscopic gastrectomy with intraoperative indicating system assisted by artificial intelligence
- Secondary Outcome Measures
Name Time Method Evaluation of landmark indicating ability by the external review committee