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 · 27 citations
Medicine · Computer Science · #Colorectal Cancer Screening and Detection #Radiomics and Machine Learning in Medical Imaging #AI in cancer detection

paper · doi:10.1016/j.gie.2020.02.033

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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• Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects. [europepmc]
• Is artificial intelligence the final answer to missed polyps in colonoscopy? [europepmc]
• Accuracy of convolutional neural network-based artificial intelligence in diagnosis of gastrointestinal lesions based on endoscopic images: A systematic review and meta-analysis. [europepmc]
• Artificial intelligence-aided colonoscopy: Recent developments and future perspectives. [europepmc]
• Artificial Intelligence in Lower Gastrointestinal Endoscopy: The Current Status and Future Perspective. [europepmc]
• Artificial Intelligence for Personalized Medicine in Thyroid Cancer: Current Status and Future Perspectives. [europepmc]
• Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era. [europepmc]
• Computer-Aided Diagnosis of Diminutive Colorectal Polyps in Endoscopic Images: Systematic Review and Meta-analysis of Diagnostic Test Accuracy. [europepmc]
• Applications of Artificial Intelligence for the Diagnosis of Gastrointestinal Diseases. [europepmc]
• Artificial Intelligence in Endoscopy. [europepmc]
• Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study. [europepmc]
• A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer. [europepmc]
• Advancements in Oncology with Artificial Intelligence-A Review Article. [europepmc]
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• The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study. [europepmc]
• Automated histological classification for digital pathology images of colonoscopy specimen via deep learning. [europepmc]
• Endoscopists performance in optical diagnosis of colorectal polyps in artificial intelligence studies. [europepmc]
• Performance of a novel computer-aided diagnosis system in the characterization of colorectal polyps, and its role in meeting Preservation and Incorporation of Valuable Endoscopic Innovations standards set by the American Society of Gastrointestinal Endoscopy. [europepmc]
• Performance and comparison of artificial intelligence and human experts in the detection and classification of colonic polyps. [europepmc]
• Artificial intelligence assists precision medicine in cancer treatment. [europepmc]
• Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions. [europepmc]
• Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening. [europepmc]
• A Systematic Review and Meta-analysis of Convolutional Neural Network in the Diagnosis of Colorectal Polyps and Cancer. [europepmc]
• The Role of Artificial Intelligence in Colorectal Cancer Screening: Lesion Detection and Lesion Characterization. [europepmc]
• Benefits of Information Technology in Healthcare: Artificial Intelligence, Internet of Things, and Personal Health Records. [europepmc]