Prospective, Randomized Controlled Study to Evaluate the Effect of Artificial Intelligence Assisted Optical Diagnosis of Advanced Adenomas
1 other identifier
interventional
120
1 country
1
Brief Summary
This study is a clinical validation of our developed a computer-aided optical dignosis of advanced adenoma using non-magnified NBI image. This study is a randomized clinical trial comparing endoscopists' optical recognition of advanced adenoma for sending to histological examination with our computer-aided system. The hypothesis of the study is that the developed computer-aided system increases the percent of sending actual advanced adenoma Intelligence Assisted Optical Diagnosis of Advanced Adenomas
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Oct 2022
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 3, 2022
CompletedFirst Posted
Study publicly available on registry
October 6, 2022
CompletedStudy Start
First participant enrolled
October 6, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 9, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
October 14, 2022
CompletedOctober 18, 2022
October 1, 2022
3 days
October 3, 2022
October 14, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
Proportion of advanced adenomas for sending to histological examination
Proportion of advanced adenomas for sending to histological examination
1 day
Secondary Outcomes (2)
Optical diagnostic accuracy of non-advanced adenomas under high confidence
1 day
Proportion of high confidence optical diagnosis of polyps
1 day
Study Arms (2)
AI assisted group
EXPERIMENTALAI assisted endoscopist' optical detection of advanced adenomas among 100 images of polyps
non-AI assisted group
NO INTERVENTIONEndoscopist' optical detection of advanced adenomas among 100 images of polyps using their experience of colonoscopy
Interventions
AI system of optical detection of advanced adenomas
Eligibility Criteria
You may qualify if:
- Endoscopists with NBI experience
You may not qualify if:
- Endoscopists without colonoscopy and NBI experience
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Departments of Gastroenterology and Clinical Laboratory, Shanghai Renji Hospital, Shanghai Jiaotong University School of Medicine
Shanghai, 200001, China
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Chief physician
Study Record Dates
First Submitted
October 3, 2022
First Posted
October 6, 2022
Study Start
October 6, 2022
Primary Completion
October 9, 2022
Study Completion
October 14, 2022
Last Updated
October 18, 2022
Record last verified: 2022-10
Data Sharing
- IPD Sharing
- Will not share