FDA Approves First AI Device to Detect Colon Lesions FDA Approves First AI Device to Detect Colon Lesions

The GI Genius works in conjunction with an endoscope during colonoscopy, highlighting possible polyps.FDA Approvals
Source: Medscape Hematology-Oncology Headlines - Category: Cancer & Oncology Tags: Hematology-Oncology News Alert Source Type: news

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Clin Endosc. 2021 Sep 23. doi: 10.5946/ce.2021.149. Online ahead of print.ABSTRACTBACKGROUND/AIMS: We have been developing artificial intelligence based polyp histology prediction (AIPHP) method to classify Narrow Band Imaging (NBI) magnifying colonoscopy images to predict the hyperplastic or neoplastic histology of polyps. Our aim was to analyze the accuracy of AIPHP and narrow-band imaging international colorectal endoscopic (NICE) classification based histology predictions and also to compare the results of the two methods.METHODS: We studied 373 colorectal polyp samples taken by polypectomy from 279 patients. The docum...
Source: Clinical Endoscopy - Category: Gastroenterology Authors: Source Type: research
Chest. 2021 Sep 15:S0012-3692(21)03858-7. doi: 10.1016/j.chest.2021.09.003. Online ahead of print.ABSTRACTCystic fibrosis is a progressive monogenetic disorder that causes persistent pulmonary disease, but also affects other organ systems including the digestive tract. Recent advances in treatment and care of CF patients including the use of new and highly effective CFTR modulators, have led to a dramatic increase in survival; young patients with CF can now expect to live to or beyond middle age, where cancer is more frequent. CF patients are now known to face an increased risk of digestive tract cancer-particularly cancer...
Source: Chest - Category: Respiratory Medicine Authors: Source Type: research
CONCLUSION: In this U.S. multicenter tandem colonoscopy RCT, we demonstrate a decrease in adenoma miss rate and SSL miss rate and an increase in first-pass APC with the use of a CADe-system when compared to HDWL colonoscopy.PMID:34530161 | DOI:10.1016/j.cgh.2021.09.009
Source: Clinical Colorectal Cancer - Category: Cancer & Oncology Authors: Source Type: research
Conclusions Our findings clearly show areas in need of quality improvement and the importance of promoting quality monitoring throughout the colonoscopy procedure. [...] Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, GermanyArticle in Thieme eJournals: Table of contents  |  Abstract  |  open access Full text
Source: Endoscopy International Open - Category: Gastroenterology Authors: Tags: Original article Source Type: research
Conclusions Our novel approach and algorithm for CRP classification differentiates accurately between benign and premalignant polyps in non-magnified endoscopic images. This is the first algorithm combining three optical modalities (HDWL/BLI/LCI) exploiting the triplet network approach. [...] Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, GermanyArticle in Thieme eJournals: Table of contents  |  Abstract  |  open access Full text
Source: Endoscopy International Open - Category: Gastroenterology Authors: Tags: Original article Source Type: research
Conclusions Outside the scope of academic trials, improvement is needed to increase the reliability of CCE as less than half were considered optimal i. e. complete with adequate bowel cleansing. Most of missed colonic advanced neoplasia were due to incomplete CCE with distal neoplasia location. [...] Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, GermanyArticle in Thieme eJournals: Table of contents  |  Abstract  |  open access Full text
Source: Endoscopy International Open - Category: Gastroenterology Authors: Tags: Original article Source Type: research
Approximately 10% of all colorectal cancer is estimated to be due to an inherited predisposition. Identification of a germline pathogenic variant can aid in treatment, screening, and surveillance and help stratify familial cancer risks based on gene-specific cancer associations. TheAPC gene contributes to a small percentage of hereditary colon cancer, with most pathogenicAPC variants causing familial adenomatous polyposis syndrome. However, one specific variant inAPC called p.I1307K, found in approximately 10% of Ashkenazi Jewish individuals, is associated with a moderate risk for colon cancer, but not polyposis. Heterozyg...
Source: Case Reports in Oncology - Category: Cancer & Oncology Source Type: research
Br J Surg. 2021 Sep 11:znab305. doi: 10.1093/bjs/znab305. Online ahead of print.NO ABSTRACTPMID:34508554 | DOI:10.1093/bjs/znab305
Source: The British Journal of Surgery - Category: Surgery Authors: Source Type: research
World J Gastroenterol. 2021 Aug 21;27(31):5272-5287. doi: 10.3748/wjg.v27.i31.5272.ABSTRACTBACKGROUND: The rate of positive tests using fecal immunochemical test (FIT) does not decrease with subsequent campaigns, but the positive predictive value of advanced neoplasia significantly decreases in subsequent campaign after a first negative test. A relationship between the fecal hemoglobin concentration (Fhb) and the opportunity to detect a colorectal cancer in subsequent campaign has been shown.AIM: To predict the severity of colorectal lesions based on Fhb measured during previous colorectal cancer screening campaign.METHODS...
Source: World Journal of Gastroenterology - Category: Gastroenterology Authors: Source Type: research
World J Gastroenterol. 2021 Aug 21;27(31):5232-5246. doi: 10.3748/wjg.v27.i31.5232.ABSTRACTBACKGROUND: Artificial intelligence in colonoscopy is an emerging field, and its application may help colonoscopists improve inspection quality and reduce the rate of missed polyps and adenomas. Several deep learning-based computer-assisted detection (CADe) techniques were established from small single-center datasets, and unrepresentative learning materials might confine their application and generalization in wide practice. Although CADes have been reported to identify polyps in colonoscopic images and videos in real time, their di...
Source: World Journal of Gastroenterology - Category: Gastroenterology Authors: Source Type: research
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