Last reviewed · How we verify

NCT03908645

Development and Validation of a Deep Learning Algorithm for Bowel Preparation Quality Scoring

Status unknown NA Last updated 9 April 2019
What this trial tests

NA trial testing Artificial intelligence assisted bowel preparation quality scoring system in Bowel Preparation in 100 participants. Status unknown.

Timeline
15 December 2018
Primary endpoint
15 December 2019
15 April 2020

Quick facts

Lead sponsorShandong University
PhaseNA
StatusStatus unknown
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingsingle
Primary purposehealth services research
Enrollment100
Start date15 December 2018
Primary completion15 December 2019
Estimated completion15 April 2020
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Shandong University

Who can join

Adults 18 to 70, any sex, with Bowel Preparation. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The purpose of this study is to develop and validate the performance of an artificial intelligence(AI) assisted Boston Bowel preparation Scoring(BBPS) system for evaluation of bowel cleanness, then testify whether this new scoring system can help physicians to improve the quality control parameters of colonoscopy in clinic practice.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies.
    Nagendran M, Chen Y, Lovejoy CA, Gordon AC, et al · · 2020 · cited 603× · PMID 32213531 · DOI 10.1136/bmj.m689

Verify or expand the search:

Other recruiting trials for Bowel Preparation

Currently open trials in the same condition.

Other Shandong University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03908645.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing