Introduction: Endoscopic retrograde cholangiopancreatography (ERCP) and endoscopic sphincterotomy (EST) are essential skills for performing endoscopic cholangiopancreatic procedures. However, these procedures have a high incidence of adverse events, and current training predominantly relies on patient-based approaches. Herein, we aimed to develop an ERCP/EST simulator model to address the need for safer training alternatives, especially for learners with limited ERCP experience.
Methods: The model was designed to facilitate the use of actual endoscopic devices, supporting learning objectives that align with the components of the validated Bethesda ERCP Skill Assessment Tool (BESAT). BESAT focuses on skills, such as papillary alignment, maintenance of duodenoscope position, gentle and efficient cannulation, controlled sphincterotomy in the correct trajectory, and guidewire manipulation. Thirty gastroenterology trainees used the simulator between May 2022 and March 2023, and their satisfaction was assessed using a visual analog scale (VAS) and pre- and post-training questionnaires.
Results: The novel simulator model comprised a disposable duodenal papillary section, suitable for incision with an electrosurgical knife, alongside washable upper gastrointestinal tract and bile duct sections for repeated use. The duodenal papillary section enabled reproduction of a realistic endoscope position and the adverse bleeding events due to improper incisions. The bile duct section allowed for the reproduction of fluoroscopic-like images, enabling learners to practice guidewire guidance and insertion of other devices. Following training, the median VAS score reflecting the expectation for model learning significantly increased from 69.5 (interquartile range [IQR]: 55.5-76.5) to 85.5 (IQR: 78.0-92.0) (p < 0.01). All participants expressed a desire for repeated simulator training sessions.
Conclusions: This innovative simulator could serve as a practical educational tool, particularly beneficial for novices in ERCP. It could facilitate hands-on practice with actual devices, enhancing procedural fluency and understanding of precise incisions to minimize the risk of bleeding complications during EST.
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http://dx.doi.org/10.1159/000536217 | DOI Listing |
Glob Chang Biol
January 2025
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
Terrestrial vegetation is a key component of the Earth system, regulating the exchange of carbon, water, and energy between land and atmosphere. Vegetation affects soil moisture dynamics by absorbing and transpiring soil water, thus modulating land-atmosphere interactions. Moreover, changes in vegetation structure (e.
View Article and Find Full Text PDFAdv Model Simul Eng Sci
January 2025
Department of Mechanical and Process Engineering, Institute for Mechanical Systems, ETH Zürich, Zürich, 8092 Switzerland.
We extend (EUCLID Efficient Unsupervised Constitutive Law Identification and Discovery)-a data-driven framework for automated material model discovery-to pressure-sensitive plasticity models, encompassing arbitrarily shaped yield surfaces with convexity constraints and non-associated flow rules. The method only requires full-field displacement and boundary force data from one single experiment and delivers constitutive laws as interpretable mathematical expressions. We construct a material model library for pressure-sensitive plasticity models with non-associated flow rules in four steps: (1) a Fourier series describes an arbitrary yield surface shape in the deviatoric stress plane; (2) a pressure-sensitive term in the yield function defines the shape of the shear failure surface and determines plastic deformation under tension; (3) a compression cap term determines plastic deformation under compression; (4) a non-associated flow rule may be adopted to avoid the excessive dilatancy induced by plastic deformations.
View Article and Find Full Text PDFFood Sci Anim Resour
January 2025
Department of Agricultural Biotechnology, Center for Food and Bioconvergence, and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Korea.
Simulating meat flavor via Maillard reaction model systems that contain a mixture of amino acids and reducing sugars is an effective approach to understanding the reaction mechanism of the flavor precursors. Notably, animal resources such as fish, beef, chicken, pork hydrolysates, and fats are excellent precursors in promoting favorable meaty and roasted flavors and umami tastes of Maillard reaction products. The experimental conditions and related factors of the model systems for sensory enhancements, debittering, and off-flavor reduction with meat and by-products are summarized in this review.
View Article and Find Full Text PDFData Brief
February 2025
Université Paris-Saclay, CEA, CNRS, SPEC, 91191 Gif-sur-Yvette, France.
Silicate glasses are commonly used for many important industrial applications. As such, the literature provides a wealth of different structural, physical, thermodynamic and mechanical properties for many different chemical compositions of oxide glasses. However, a frequent limitation to existing datasets is that only one or two material properties can be evaluated for a given sample.
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Ross University School of Medicine, Saint Michael, BRB.
Purpose: The integration of artificial intelligence (AI) into medical education has witnessed significant progress, particularly in the domain of language models. This study focuses on assessing the performance of two notable language models, ChatGPT and BingAI Precise, in answering the National Eligibility Entrance Test for Postgraduates (NEET-PG)-style practice questions, simulating medical exam formats.
Methods: A cross-sectional study conducted in June 2023 involved assessing ChatGPT and BingAI Precise using three sets of NEET-PG practice exams, comprising 200 questions each.
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