Results 211 to 220 of about 9,317,249 (377)

Physical Activity and the Risk of Gallbladder Disease: A Systematic Review and Meta-Analysis of Cohort Studies.

Journal of Physical Activity and Health, 2016
D. Aune, M. Leitzmann, L. Vatten
semanticscholar   +1 more source

Detection of Gallbladder Disease Types Using a Feature Engineering-Based Developed CBIR System. [PDF]

Diagnostics (Basel)
Bozdag A, Yildirim M, Karaduman M, Mutlu HB, Karaduman G, Aksoy A.   +5 more
europepmc   +1 more source

Prenatal diethylstilbestrol exposure and risk of diabetes, gallbladder disease, and pancreatic disorders and malignancies. [PDF]

J Dev Orig Health Dis, 2021
Troisi R, Hyer M, Titus L, Palmer JR, Hatch EE, Huo D, Aagaard KM, Strohsnitter WC, Hoover RN.   +8 more
europepmc   +1 more source

Asymptomatic does not differ from symptomatic gallstone disease in gallbladder inflammation index nor in molecular abnormalities associated with gallbladder carcinoma

, 2003
Fernando Pimentel, Juan Francisco Miquel, I. Wistuba   +2 more
openalex   +1 more source

Robotic-assisted versus conventional/single-incision laparoscopic cholecystectomy for benign gallbladder disease: A systematic review and meta-analysis. [PDF]

Medicine (Baltimore)
Tang K, Zhou W, Zhou Y, Li Y, Liao L, Dong X.   +5 more
europepmc   +1 more source

Effects of intraduodenally applied bile salts on pancreatic secretion [PDF]

, 1993
Lehnert, Peter, Riepl, Rudolf L.
core   +1 more source

Vendor‐Agnostic Vision Transformer‐Based Artificial Intelligence for Peroral Cholangioscopy: Diagnostic Performance in Biliary Strictures Compared With Convolutional Neural Networks and Endoscopists

Digestive Endoscopy, EarlyView.
ABSTRACT Objectives Accurate diagnosis of biliary strictures remains challenging. This study aimed to develop an artificial intelligence (AI) system for peroral cholangioscopy (POCS) using a Vision Transformer (ViT) architecture and to evaluate its performance compared to different vendor devices, conventional convolutional neural networks (CNNs), and ...
Ryosuke Sato, Kazuyuki Matsumoto, Masahiro Tomiya, Takayoshi Tanimoto, Akimitsu Ohto, Kentaro Oki, Satoshi Kajitani, Tatsuya Kikuchi, Akihiro Matsumi, Kazuya Miyamoto, Yuki Fujii, Daisuke Uchida, Koichiro Tsutsumi, Shigeru Horiguchi, Yoshiro Kawahara, Motoyuki Otsuka   +15 more
wiley   +1 more source

Weight loss interventions and obesity‐associated cancers in people with type 2 diabetes and overweight/obesity: A real‐world observational study

Diabetes, Obesity and Metabolism, EarlyView.
Abstract Aims To evaluate whether weight‐loss interventions are associated with obesity‐associated cancers (OAC) in individuals with overweight/obesity and type 2 diabetes (T2D). Materials and Methods This retrospective cohort study utilised the TriNetX federated research network.
Testimony Ipaye, Jonathan Goldney, Thomas J. Wilkinson, Francesco Zaccardi, Thomas Yates, Melanie J. Davies, Karen Brown, Dimitris Papamargaritis   +7 more
wiley   +1 more source

Mirizzi syndrome: The Trojan horse of gallbladder disease. [PDF]

Surg Open Sci
Froehlich M, Sodomin EM, Fontenot T, Iftekhar N, Chan CN, Barber A.   +5 more
europepmc   +1 more source

A review of multidisciplinary care in metabolic dysfunction‐associated steatohepatitis and cardiometabolic disease, with a focus on Canada

Diabetes, Obesity and Metabolism, EarlyView.
Abstract Cardiometabolic disease (CMD) is associated with an increased risk of metabolic dysfunction‐associated steatohepatitis (MASH). Most patients develop MASH in association with type 2 diabetes and obesity. Optimal disease management requires effective multidisciplinary collaboration between primary care physicians and specialists from different ...
James Kim, Paolo Raggi, Anne‐Marie Carreau, Sean Wharton, Alice Y. Y. Cheng, Mark G. Swain   +5 more
wiley   +1 more source