The colonoscopist-blinded, randomized study included 1,434 patients, according to Becker’s. Participants were broken into two groups. The first group, labeled as the control group, performed routine self-evaluation throughout their preparation process. A second group used the tool to assist in and gauge prep effectiveness.
“The primary outcome was the consistency (homogeneity) between the results of the two methods,” the study states. “The secondary outcomes included the quality of bowel preparation according to the Boston Bowel Preparation Scale (BBPS), the polyp detection rate (PDR), and the adenoma detection rate (ADR).”
Results of the study showed that pass/no pass rates between the groups were similar. Furthermore, PDR, ADR, and prep results based on the BBPS also remained similar. The main differentiator in the results was the ranking of mean BBPS scores for those who passed.
“The mean BBPS score of patients with “pass” results were signiﬁcantly higher in the AI-CNN group than in the Control group,” the study states.
With these results, researchers believe that AI assisted prep can improve the quality of bowel prep in those already undergoing the process.
To read the study and its results, click here.