Accuracy of artificial intelligence on histology prediction and detection of colorectal polyps: a systematic review and meta-analysis

2020/02/29 by Thomas K.L. Lui, Thomas Ka-Luen Lui, Chuan-Guo Guo +2 · 117 citations
Computer Science · Medicine · #AI in cancer detection #Artificial intelligence #Cancer #Colonoscopy #Colorectal Cancer Screening and Detection #Colorectal cancer #Histology #Internal medicine #Medicine #Meta-analysis #Radiomics and Machine Learning in Medical Imaging

paper · doi:10.1016/j.gie.2020.02.033

published in Gastrointestinal Endoscopy 92(1), 11-22.e6 (Elsevier BV)

openalex publication_date 2020/02/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Citations

• The American Society for Gastrointestinal Endoscopy PIVI (Preservation and Incorporation of Valuable Endoscopic Innovations) on real-time endoscopic assessment of the histology of diminutive colorectal polyps
• QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies
• 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 Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy
• Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

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• Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening. [europepmc]
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• Benefits of Information Technology in Healthcare: Artificial Intelligence, Internet of Things, and Personal Health Records. [europepmc]