Results 221 to 230 of about 298,321 (314)

Stakeholder mapping and methodology for stakeholder engagement

Landscape analysis to identify stakeholders in four key groups Research Business Policy and ...
openaire   +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

Mapping the rare disease stakeholders in India. [PDF]

PLOS Glob Public Health
Chakraborty Choudhury M, George JP, Srinivas PN.   +2 more
europepmc   +1 more source

Exploring 3D anatomy: A free online course supporting novice learner inquiry and spatial conceptualization

Anatomical Sciences Education, EarlyView.
Abstract Application of three‐dimensional anatomical knowledge is essential for patient examination, diagnosis, and treatment and is crucial in the training of medical and healthcare students. Moreover, critical observation and spatial awareness are vital for learner understanding of three‐dimensional anatomical structures and relationships.
Jiayi Zhang, Moksh Sachdeva, Calum McCaig, Eleanor Gordon, Leonard Shapiro, Iain D. Keenan   +5 more
wiley   +1 more source

Exploring Attitudes Toward AI-Based Contactless Sensors in Health Among Five Stakeholder Groups: Qualitative Study. [PDF]

J Med Internet Res
Hille EM, Bleher H, Coppers B, Engelhardt S, Eskofier B, Garbe L, Heckel M, Liphardt AM, Manlig A, Rohleder N, Samhammer D, Spielmann C, Braun M.   +12 more
europepmc   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena   +2 more
wiley   +1 more source

Multidisciplinary Stakeholder Perspectives on the Design Needs of a Smart Walker for Fall Prevention Among Older Adults: A Qualitative Study in West Java, Indonesia. [PDF]

J Multidiscip Healthc
Dharmansyah D, Rahayuwati L, Pramukti I, Mutyara K.   +3 more
europepmc   +1 more source

Cross‐disciplinary integration: Information practices and a role for information scholars. An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley   +1 more source

Process and Strategies for Implementing an Antenatal Psychosocial Clinical Decision Support System Within an Inter-Organisational Care Context: The Born in Belgium Professionals Platform. [PDF]

Healthcare (Basel)
Amuli K, Decabooter K, Germanes C, Van Parys AS, Verschelde S, Saey E, Moulin M, Cornu P, Beeckman K.   +8 more
europepmc   +1 more source

Interpreting algorithmic information cues: User sensemaking of search autocomplete moderation

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Autocomplete is a search feature that algorithmically generates information cues for any keywords entered in the search bar. While this feature makes the search process more efficient, it also frequently produces biased, misleading, offensive, or otherwise inappropriate suggestions.
Shagun Jhaver
wiley   +1 more source