Results 221 to 230 of about 665,161 (318)

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

Anatomical 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, Jon Cornwall, Brandi Schmitt, Brendon Billings, Susana Biasutto, Andreas Winkelmann, Jian Yang, Laura Johnson   +7 more
wiley   +1 more source

Performance of multimodal large language models on image‐based surgical anatomy, anatomical pathology, and radiology questions

Anatomical Sciences Education, EarlyView.
Abstract Multimodal large language models (LLMs) are now deeply integrated into medical education and widely used by medical students, yet it remains unclear whether current models possess the accuracy and reliability needed to support image‐based learning.
Ming Lu, Josiah Cheng, Vinod Gopalan
wiley   +1 more source

Evaluation of interest trends among the general population and scientific community in migraine surgery. [PDF]

JPRAS Open
Raposio E, Antonini A, Bertulla E.
europepmc   +1 more source

The performance of ChatGPT and other large language models on multiple‐choice questions in biomedical disciplines: A meta‐analysis

Anatomical Sciences Education, EarlyView.
Abstract While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple‐choice questions (MCQs) varies widely across studies, necessitating synthesis. This meta‐analysis synthesizes LLM accuracy on text‐based MCQs from biomedical disciplines and USMLE Step 1‐level content and explores ...
Colleen M. Cheverko, Volodymyr Mavrych, Olena Bolgova, Fathima Raahima Riyas Mohamed, Jennifer Westrick, Lorena Juarez, Emily Rush, Kathryn A. Solka, Alison F. Doubleday, Jessica N. Byram, Robert Becker, Victoria Gomez, Brenda K. Anak Ganeng, Leslie A. Hoffman, Victoria A. Roach, Kirsten M. Brown, Nicole DeVaul, Colleen N. Garnett, Hannah L. Herriott, Rebecca S. Lufler, Jason C. Mussell, Joy Y. Balta, Michael A. Pascoe, Jason W. Middleton, Sharon Duffy, Georgina C. Stephens, Adam B. Wilson   +26 more
wiley   +1 more source

Disputing your roots: A multi-platform computational analysis of consumer reactions to genetic ancestry testing. [PDF]

J Community Genet
Behnamian S.
europepmc   +1 more source

Introducing virtual microscopy at the University of Ghana during the COVID‐19 pandemic—Identifying and overcoming obstacles in a low‐resource learning environment

Anatomical Sciences Education, EarlyView.
Abstract The introduction of new educational technologies into resource‐challenged learning environments is often hindered by several factors, with the lack of infrastructure and computer hardware being only one critical aspect. The COVID‐19 pandemic required a sudden switch to online learning and accelerated the implementation of e‐learning approaches
Nii Koney‐Kwaku Koney, Smart Nana Omenako, David Nana Adjei, Benjamin Arko‐Boham, Michael Hortsch   +4 more
wiley   +1 more source

Multi-sensor-based rock glacier detection over Sikkim Himalaya. [PDF]

iScience
Kumar A, Malviya A, Singh G.
europepmc   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Associating cognitive abilities with naturalistic search behavior

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 665-685, April 2025.
Abstract Differences in cognitive abilities affect search behaviors, but this has mostly been observed in laboratory experiments. There is limited research on how users search for information in real‐world, naturalistic settings and how real‐world search behaviors relate to cognitive abilities.
Tung Vuong, Pritom Kumar Das, Tuukka Ruotsalo   +2 more
wiley   +1 more source