Impact of a real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with videos)

2019/08/24 by Jingran Su, Jing-Ran Su, Zhen Li +16 · 282 citations
Computer Science · Medicine · #AI in cancer detection #Adenoma #COVID-19 diagnosis using AI #Cancer #Colonoscopy #Colorectal Cancer Screening and Detection #Colorectal Polyp #Colorectal cancer #Gastroenterology #Insertion time #Internal medicine #Medicine #Prospective cohort study #Randomized controlled trial #Surgery #Withdrawal time

paper · doi:10.1016/j.gie.2019.08.026

published in Gastrointestinal Endoscopy 91(2), 415-424.e4 (Elsevier BV)

openalex publication_date 2019/08/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Citations

• Polyp Miss Rate Determined by Tandem Colonoscopy: A Systematic Review
• The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research
• Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
• Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

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• Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology. [europepmc]
• Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension. [europepmc]
• Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension. [europepmc]
• Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension. [europepmc]
• Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension. [europepmc]
• Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects. [europepmc]
• Clinical Trials for Artificial Intelligence in Cancer Diagnosis: A Cross-Sectional Study of Registered Trials in ClinicalTrials.gov. [europepmc]
• Real-time computer aided colonoscopy versus standard colonoscopy for improving adenoma detection rate: A meta-analysis of randomized-controlled trials. [europepmc]
• Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension. [europepmc]
• Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension. [europepmc]
• Impact of real-time use of artificial intelligence in improving adenoma detection during colonoscopy: A systematic review and meta-analysis. [europepmc]
• Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review. [europepmc]
• Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era. [europepmc]
• Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis. [europepmc]
• Artificial intelligence-assisted colonoscopy: A prospective, multicenter, randomized controlled trial of polyp detection. [europepmc]
• Current status and limitations of artificial intelligence in colonoscopy. [europepmc]
• Artificial intelligence in gastroenterology: A state-of-the-art review. [europepmc]
• Colonoscopic image synthesis with generative adversarial network for enhanced detection of sessile serrated lesions using convolutional neural network. [europepmc]
• Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions. [europepmc]
• Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy. [europepmc]
• Randomized Controlled Trials of Artificial Intelligence in Clinical Practice: Systematic Review. [europepmc]
• Randomized Clinical Trials of Machine Learning Interventions in Health Care: A Systematic Review. [europepmc]
• Real-time use of artificial intelligence (CADEYE) in colorectal cancer surveillance of patients with Lynch syndrome-A randomized controlled pilot trial (CADLY). [europepmc]
• Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect. [europepmc]
• Direct comparison of multiple computer-aided polyp detection systems. [europepmc]