Results 201 to 210 of about 17,106 (265)

High‐Resolution Deep Learning Dixon Magnetic Resonance Imaging of the Sacroiliac Joints Is Noninferior to Standard Magnetic Resonance Imaging in Patients With Suspected Axial Spondyloarthritis

open access: yesArthritis &Rheumatology, EarlyView.
Objective To compare the multisequence standard magnetic resonance imaging (sMRI) protocol of the sacroiliac joints with a single high‐resolution deep learning–reconstructed Dixon sequence (DL‐Dixon) in patients with suspected axial spondyloarthritis (axSpA). Methods Seventy‐six patients with chronic low back pain and suspected axSpA underwent clinical,
Dominik Deppe   +12 more
wiley   +1 more source

The role of IgM anti‐acetylated protein antibodies and B cells in the origin of anti‐modified protein autoimmunity in rheumatoid arthritis

open access: yesArthritis &Rheumatology, Accepted Article.
Objective Rheumatoid arthritis (RA) is characterized by anti‐modified protein antibodies (AMPAs), including anti‐citrullinated (ACPA), anti‐carbamylated (anti‐CarP), and anti‐acetylated (AAPA) protein antibodies. In contrast to other AMPAs, AAPA IgM is found in healthy individuals, raising questions about its role in early immune responses.
Aegli Athanasiadou   +10 more
wiley   +1 more source

Body donor programs in Australia and New Zealand: Current status and future opportunities

open access: yesAnatomical Sciences Education, Volume 18, Issue 3, Page 301-328, March 2025.
Abstract Body donation is critical to anatomy study in Australia and New Zealand. Annually, more than 10,000 students, anatomists, researchers, and clinicians access tissue donated by local consented donors through university‐based body donation programs. However, little research has been published about their operations.
Rebekah A. Jenkin, Kevin A. Keay
wiley   +1 more source

Development of interactive MRI‐based 3D visualization tools for neuroanatomy education in Latin America

open access: yesAnatomical Sciences Education, EarlyView.
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair   +5 more
wiley   +1 more source

Development of effective 3D digital models for first‐time learners of musculoskeletal anatomy

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Musculoskeletal anatomy is a critical component of allied health curricula. With the ubiquity of technology in the classroom and the recent COVID‐19 pandemic creating accessibility barriers for students, there is a need for viable digital resources to enhance learning by supplementing traditional textbook studying.
Alexander H. Safir   +2 more
wiley   +1 more source

Immersive virtual reality as a teaching tool in neuroanatomy: A scoping review

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Basic core courses in various undergraduate programs, such as neuroanatomy, pose a challenge for students due to the large volume and complexity of the content. In this context, educational technologies such as immersive virtual reality (IVR), which allow students to actively interact with learning materials, offer a complementary pedagogical ...
Nathálya Gardênia de Holanda Marinho Nogueira   +7 more
wiley   +1 more source

Anatomists' experience and perspectives on the international transfer of human remains for the purpose of education

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Anecdotally, educational institutions without access to human remains may choose to import these from other countries; however, there is currently no published information illuminating the existence of this trade. This study therefore aimed to document the nature of international transfer of human remains for education, and explore anatomists'
Jackie Hazelhurst   +7 more
wiley   +1 more source

Aspect sentiment learning for Aspect-Level Sentiment Classification

Neural Networks, 2023
Aspect-Level Sentiment Classification (ALSC) is a fine-grained Sentiment Analysis (SA) task that aims to determine the sentiments of a sentence toward different aspects. Despite their significant success, most existing methods derive aspect sentiment semantics from individual sentences, overlooking the interrelationships among relevant sentences that ...
Zhongquan Jian   +4 more
openaire   +2 more sources

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