Comparative Study of Predictive Models for the Detection of Patients at High Risk of Inadequate Colonic Cleansing.

Various predictive models have been published to identify outpatients with inadequate colonic cleansing who may benefit from intensified preparations to improve colonoscopy quality. The main objective of this study was to compare the accuracy of three predictive models for identifying poor bowel preparation in outpatients undergoing colonoscopy. This cross-sectional study included patients scheduled for outpatient colonoscopy over a 3-month period.

Design and validation of an artificial intelligence system to detect the quality of colon cleansing before colonoscopy.

Background And Aims: Patients' perception of their bowel cleansing quality may guide rescue cleansing strategies before colonoscopy. The main aim of this study was to train and validate a convolutional neural network (CNN) for classifying rectal effluent during bowel preparation intake as "adequate" or "inadequate" cleansing before colonoscopy.

Patients And Methods: Patients referred for outpatient colonoscopy were asked to provide images of their rectal effluent during the bowel preparation process.

Agreement between the perception of colon cleansing reported by patients and colon cleansing assessed by a validated colon cleansing scale.

Aims: Patients' perception of their cleansing quality can guide strategies to improve cleansing during colonoscopy. There are no studies assessing the agreement between the quality of cleansing perceived by patients and cleansing quality assessed during colonoscopy using validated bowel preparation scales. The main aim of this study was to compare the cleansing quality reported by patients with the quality during colonoscopy using the Boston Bowel Preparation Scale (BBPS).

Usefulness of a novel computer-aided detection system for colorectal neoplasia: a randomized controlled trial.

Background And Aims: Artificial intelligence-based computer-aid detection (CADe) devices have been recently tested in colonoscopies, increasing the adenoma detection rate (ADR), mainly in Asian populations. However, evidence for the benefit of these devices in the occidental population is still low. We tested a new CADe device, namely, ENDO-AID (OIP-1) (Olympus, Tokyo, Japan), in clinical practice.

Prevalence of missed lesions in patients with inadequate bowel preparation through a very early repeat colonoscopy.

Objectives: When bowel preparation (BP) is inadequate, international guidelines recommend repeating the colonoscopy within 1 year to avoid missing clinically relevant lesions. We aimed to determine the rate of missed lesions in patients with inadequate BP through a very early repeat colonoscopy with adequate BP.

Methods: Post hoc analysis was conducted using data collected from a prospective multicenter randomized clinical trial including patients with inadequate BP and then repeat colonoscopy.

Educational nurse-led telephone intervention shortly before colonoscopy as a salvage strategy after previous bowel preparation failure: a multicenter randomized trial.

Background: The most important predictor of unsuccessful bowel preparation is previous failure. For those patients with previous failure, we hypothesized that a nurse-led educational intervention by telephone shortly before the colonoscopy appointment could improve cleansing efficacy.

Methods: We performed a multicenter, endoscopist-blinded, randomized controlled trial.