Results 171 to 180 of about 26,588 (249)

Inferring Rheumatoid Arthritis Disease Activity Status From the Electronic Health Records Across Health Systems

Arthritis &Rheumatology, EarlyView.
Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHRs) data has limited the ability to generate real‐world evidence (RWE).
David Cheng, Xuan Wang, Gregory C. McDermott, Jennifer S. Hanberg, Zoe Love, Katherine Zhong, Mary Jeffway, Jue Hou, Vidul Panickan, Rahul Sangar, Ying Qi, Connor Melley, Lauren Costa, Dakota Feil, Rachael Matty, Dana Weisenfeld, Abisayo Animashaun, Aimee Schreiner, Sara Morini, Lauren Rusnak, Andrew Cagan, Misti Paudel, J. Michael Gaziano, Brian Sauer, Michael Weinblatt, Joshua Baker, Bryant England, Yuk‐Lam Ho, Kelly Cho, Paul Monach, Grant W. Cannon, Nancy Shadick, Ted R. Mikuls, Tianxi Cai, Katherine P. Liao   +34 more
wiley   +1 more source

GP or ChatGPT? Ability of large language models (LLMs) to support general practitioners when prescribing antibiotics. [PDF]

J Antimicrob Chemother
Ngoc Nguyen O, Amin D, Bennett J, Hetlevik Ø, Malik S, Tout A, Vornhagen H, Vellinga A.   +7 more
europepmc   +1 more source

Autoreactivity Versus Autoimmunity: Characteristics of Autoantigen‐Specific CD4 T Cells in Rheumatoid Arthritis and Health

Arthritis &Rheumatology, EarlyView.
Objective CD4 T cells specific for citrullinated (cit) peptides are key players in rheumatoid arthritis (RA) immunopathogenesis. Characterizing these cells and identifying features of healthy and RA‐associated autoreactivity will provide valuable insight into disease mechanisms and form the basis of immune state biomarkers to facilitate the next ...
James A. Stanway, Daniel Peters, Helen Waller, Jeremy Lakey, Henrique De Paula Lemos, Kristian Williams, Abbie Degnan, Julie Diboll, Abdul Mannan Baru, David Tough, Arthur G. Pratt, Catharien M.U. Hilkens, Amy E. Anderson, John D. Isaacs   +13 more
wiley   +1 more source

Enhancing stock timing predictions based on multimodal architecture: Leveraging large language models (LLMs) for text quality improvement. [PDF]

PLoS One
Chen M, Tang Y, Qi Q, Dai H, Lin Y, Ling C, Li T.   +6 more
europepmc   +1 more source

Expert‐validated criteria for evaluating 2D anatomical images: Results of a Delphi consensus study

Anatomical Sciences Education, EarlyView.
Abstract Currently, there are no consensus standards for the selection of two‐dimensional (2D) anatomical images that form the basis of anatomy education. The absence of standardized evaluation criteria may contribute to variability in image quality and inconsistencies in the educational use of anatomical visuals, potentially affecting students ...
Ayşe Soylu, Yavuz Selim Kıyak, Özlem Coşkun, Tuncay Veysel Peker   +3 more
wiley   +1 more source

Augmenting research consent: should large language models (LLMs) be used for informed consent to clinical research? [PDF]

Res Ethics
Allen JW, Schaefer O, Mann SP, Earp BD, Wilkinson D.   +4 more
europepmc   +1 more source

ChatGPT for complex text evaluation tasks

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 645-648, April 2025.
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley   +1 more source

Assessment of Large Language Models (LLMs) in decision-making support for gynecologic oncology. [PDF]

Comput Struct Biotechnol J
Gumilar KE, Indraprasta BR, Faridzi AS, Wibowo BM, Herlambang A, Rahestyningtyas E, Irawan B, Tambunan Z, Bustomi AF, Brahmantara BN, Yu ZY, Hsu YC, Pramuditya H, Putra VGE, Nugroho H, Mulawardhana P, Tjokroprawiro BA, Hedianto T, Ibrahim IH, Huang J, Li D, Lu CH, Yang JY, Liao LN, Tan M.   +24 more
europepmc   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +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