In this observational pilot study, we assess the diagnostic performance of an artificial intelligence sytem for automated detection of colorectal polyps.
During standard colonoscopy, a substantial number of colorectal polyps can be missend. As shown in a recent meta-analysis, miss rates for adenomas can reach up to 26%. In this study, it is tested whether an artificial intelligence system that highlights colorectal polyps during screening or surveillance colonoscopy in real time can lead to an increased detection of colorectal polyps during the examination.
Study Type
OBSERVATIONAL
Enrollment
40
In this group, an artificial Intelligence System will be used for computer-aided diagnosis of colorectal polyps. Diagnostic Performance of the artificial intelligence System for detection of polyps will be compared against Operator-based detection in the same group
University Hospital Erlangen
Erlangen, Germany
RECRUITINGFeasibility to use the AI System in vivo during colonoscopy
As a Primary outcome, whether the AI System is capable of detecting colorectal polyps in vivo during colonoscopy
Time frame: 4 month
Diagnostic Performance of the AI System for detecting colorectal polyps
As a secondary outcome, we assess the diagnostic Performance of the AI System for detecing colorectal Polyp in real time
Time frame: 4 month
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