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 · 27 citations
Medicine · Computer Science · #Colorectal Cancer Screening and Detection #AI in cancer detection #COVID-19 diagnosis using AI

paper · doi:10.1016/j.gie.2019.08.026

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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• 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]
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