Results 51 to 60 of about 586,786 (282)

Artificial Intelligence-Aid Colonoscopy Vs. Conventional Colonoscopy for Polyp and Adenoma Detection: A Systematic Review of 7 Discordant Meta-Analyses

open access: yesFrontiers in Medicine, 2022
Objectives: Multiple meta-analyses which investigated the comparative efficacy and safety of artificial intelligence (AI)-aid colonoscopy (AIC) vs. conventional colonoscopy (CC) in the detection of polyp and adenoma have been published.
Hui Pan   +6 more
doaj   +1 more source

Gender, age, and concomitant diseases of melanosis coli in China: a multicenter study of 6,090 cases [PDF]

open access: yesPeerJ, 2018
Backgrounds and Aims Melanosis coli (MC) is a noninflammatory, benign, and reversible colonic disorder, but its detection rates in China are unclear. We therefore aimed to analyze the epidemiological characteristics of MC in China.
Shufang Wang   +12 more
doaj   +2 more sources

Intrabodies Binding the Proline-Rich Domains of Mutant Huntingtin Increase Its Turnover and Reduce Neurotoxicity [PDF]

open access: yes, 2008
Although expanded polyglutamine (polyQ) repeats are inherently toxic, causing at least nine neurodegenerative diseases, the protein context determines which neurons are affected.
Bugg, Charles W.   +5 more
core   +2 more sources

Automated polyp detection in colon capsule endoscopy

open access: yes, 2014
Colorectal polyps are important precursors to colon cancer, a major health problem. Colon capsule endoscopy (CCE) is a safe and minimally invasive examination procedure, in which the images of the intestine are obtained via digital cameras on board of a ...
Figueiredo, Isabel N.   +3 more
core   +1 more source

European guidelines from the EHTG and ESCP for Lynch syndrome: an updated third edition of the Mallorca guidelines based on gene and gender

open access: yesBJS (British Journal of Surgery), EarlyView., 2020
Recommendations for clinical and molecular identification of LS, surgical and endoscopic management of LS‐associated colorectal cancer and preventive measures for cancer were produced. The emphasis was on surgical and gastroenterological aspects of the cancer spectrum.
T. T. Seppälä   +18 more
wiley   +1 more source

Improvement in adenoma detection using a novel artificial intelligence-aided polyp detection device

open access: yesEndoscopy International Open, 2021
Background and study aims Detecting colorectal neoplasia is the goal of high-quality screening and surveillance colonoscopy, as reflected by high adenoma detection rate (ADR) and adenomas per colonoscopy (APC).
Aasma Shaukat   +8 more
doaj   +1 more source

An Efficient Approach for Polyps Detection in Endoscopic Videos Based on Faster R-CNN

open access: yes, 2018
Polyp has long been considered as one of the major etiologies to colorectal cancer which is a fatal disease around the world, thus early detection and recognition of polyps plays a crucial role in clinical routines.
Mo, Xi   +3 more
core   +1 more source

Twelve-year follow-up study after endoscopic sinus surgery in patients with chronic rhinosinusitis with nasal polyposis [PDF]

open access: yes, 2019
Background Chronic rhinosinusitis with nasal polyposis (CRSwNP) is a therapeutic challenge because of the high recurrence rate. Surgical intervention should be considered in patients who fail to improve after medical treatment.
Bachert, Claus   +7 more
core   +1 more source

Detection rates for adenomas, serrated polyps and clinically relevant serrated polyps can be easily estimated by individually calculated detection rate ratios

open access: yesScandinavian Journal of Gastroenterology, 2020
Background and aims: Adenoma detection rate (ADR) is a key quality indicator for colonoscopy; however, it is cumbersome to obtain. We investigated if detection rates (DRs) for adenomas, serrated polyps (SPs) and clinically relevant SP (crSPDR) can be accurately estimated by individualized DR ratios (DRRs) in a multicenter primary colonoscopy screening ...
Martin, Buerger   +11 more
openaire   +2 more sources

Real-time gastric polyp detection using convolutional neural networks.

open access: yesPLoS ONE, 2019
Computer-aided polyp detection in gastric gastroscopy has been the subject of research over the past few decades. However, despite significant advances, automatic polyp detection in real time is still an unsolved problem.
Xu Zhang   +9 more
doaj   +1 more source

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