Results 261 to 270 of about 72,494 (332)

IBUS‐SAS Is a Highly Accurate Intestinal Ultrasound Score for Predicting Endoscopic Disease Activity in Ulcerative Colitis

open access: yesUnited European Gastroenterology Journal, EarlyView.
ABSTRACT Background The international bowel ultrasound group‐segmental activity score (IBUS‐SAS) is a validated tool with high interobserver agreement for accurately detecting disease activity in Crohn's disease (CD). Here, we addressed whether the IBUS‐SAS is also suitable to assess disease activity in ulcerative colitis (UC). Methods The IBUS‐SAS and
Sarah Fischer   +11 more
wiley   +1 more source

Oral Microcapsule Chromocolonoscopy With Patent Blue V Improves Adenoma Detection Safely and Effectively

open access: yesUnited European Gastroenterology Journal, EarlyView.
ABSTRACT Background and Objective Chromocolonoscopy significantly improves polyp/adenoma detection rates (PDR/ADR). However, its integration into routine clinical practice is hindered by its cumbersome mode of application. The objective was to develop an oral nutritional grade delivery system and to assess its efficacy for colonic release, mucosal ...
Berenice Schulte   +10 more
wiley   +1 more source

SIGMOID-SPINAL FISTULA IN A PATIENT WITH CROHN'S DISEASE - CASE REPORT

open access: diamond
Gersino Perin Ribeiro   +7 more
openalex   +1 more source

Applications of Artificial Intelligence in Neurological Voice Disorders

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao   +2 more
wiley   +1 more source

Olmesartan-Associated Enteropathy: An Uncommon Cause of Chronic Diarrhea. [PDF]

open access: yesClin Case Rep
Sayedahmed A   +5 more
europepmc   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam   +3 more
wiley   +1 more source

Primary Colorectal Lymphoma Presenting as a Perisigmoid Abscess: A Report of a Rare Case. [PDF]

open access: yesCureus
Rivera-Garcia Granados A   +4 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy