Background: Artificial intelligence (AI) is used to solve the problem of missed diagnosis of polyps in colonoscopy, which has been proved to improve the detection rate of adenomas. The aim of this review was to evaluate the diagnostic performance of AI-assisted detection and classification of polyps in colonoscopy.
Methods: The literature search was undertaken on 4 electronic databases (PubMed, Web of Science, Embase, and Cochrane Library).
Risk Manag Healthc Policy
November 2021
Objective: The purpose of this study was to establish and verify a risk-scoring system for colorectal adenoma recurrence.
Methods: A total of 359 patients with colorectal adenoma who underwent polypectomy from October 2017 to December 2018 were included in this retrospective study. Information including taking traditional Chinese medicine, demographic characteristics, adenoma characteristics were collected.
Objective: We aimed to establish and evaluate a time series model for predicting the seasonality of acute upper gastrointestinal bleeding (UGIB).
Methods: Patients with acute UGIB who were admitted to the Emergency Department and Gastrointestinal Endoscopy Center of Guangdong Provincial Hospital of Traditional Chinese Medicine from January 2013 to December 2019 were enrolled in the present study. The incidence trend of UGIB was analyzed by seasonal decomposition method.
Background: Psychological illness could affect the gut transmission. However, few studies have reported on the association between anxiety and depression and bowel preparation failure at colonoscopy. Bowel air bubbles have become an indispensable index to evaluate intestinal cleanliness.
View Article and Find Full Text PDFBackground: Transforming growth factor-beta (TGF-β) is associated with a higher incidence of distant metastasis and decreased survival. Whether TGF-β can be used as a prognostic indicator of colorectal cancer (CRC) remains controversial.
Methods: The Medline, EMBASE and Cochrane databases were searched from their inception to March 2016.