Background: Recent developments in artificial intelligence (AI) systems have enabled advancements in endoscopy. Deep learning systems, using convolutional neural networks, have allowed for real-time AI-aided detection of polyps with higher sensitivity than the average endoscopist. However, not all endoscopists welcome the advent of AI systems.
View Article and Find Full Text PDFBackground: Colonoscopies have long been the gold standard for detection of pre-malignant neoplastic lesions of the colon. Our previous study tried real-time artificial intelligence (AI)-aided colonoscopy over a three-month period and found significant improvements in collective and individual endoscopist's adenoma detection rates compared to baseline. As an expansion, this study evaluates the 1-year performance of AI-aided colonoscopy in the same institution.
View Article and Find Full Text PDFThe development of deep learning systems in artificial intelligence (AI) has enabled advances in endoscopy, and AI-aided colonoscopy has recently been ushered into clinical practice as a clinical decision-support tool. This has enabled real-time AI-aided detection of polyps with a higher sensitivity than the average endoscopist, and evidence to support its use has been promising thus far. This review article provides a summary of currently published data relating to AI-aided colonoscopy, discusses current clinical applications, and introduces ongoing research directions.
View Article and Find Full Text PDFBackground: Colonoscopy is a mainstay to detect premalignant neoplastic lesions in the colon. Real-time Artificial Intelligence (AI)-aided colonoscopy purportedly improves the polyp detection rate, especially for small flat lesions. The aim of this study is to evaluate the performance of real-time AI-aided colonoscopy in the detection of colonic polyps.
View Article and Find Full Text PDFGoals: The goal of this study was to determine the luminal recurrence rate of asymptomatic patients undergoing annual surveillance esophagogastroduodenoscopy (EGD).
Background: Current guidelines recommend surveillance EGD in postesophagectomy patients with esophageal cancer if there is clinical suspicion of local recurrence. However, many patients undergo annual surveillance EGD despite the recommendations to the contrary.
Clin Res Hepatol Gastroenterol
February 2013
Background: Gastroesophageal reflux disease (GERD) is common in pregnancy. The cause is multifactorial, including a decreased or transient lower esophageal sphincter relaxation, increased intra-abdominal pressure, and gastrointestinal motility disturbances.
Aims: Evaluate the incidence of GERD in pregnancy and assess predictors and predisposing factors.
Hosp Pract (1995)
February 2011
Barrett's esophagus (BE) is a premalignant condition that predisposes patients to esophageal adenocarcinoma. This risk increases with increasing dysplasia, especially in patients with BE and high-grade dysplasia. Radical esophagectomy had long been the only option for these patients; however, it has been associated with significant morbidity and mortality.
View Article and Find Full Text PDFHerpesviruses utilize different origins of replication during lytic versus latent infection. Latent DNA replication depends on host cellular DNA replication machinery, whereas lytic cycle DNA replication requires virally encoded replication proteins. In lytic DNA replication, the lytic origin (ori-Lyt) is bound by a virus-specified origin binding protein (OBP) that recruits the core replication machinery.
View Article and Find Full Text PDF