Results 211 to 220 of about 106,494 (293)

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

Assessment of patient information quality provided by artificial intelligence-based large language models on cryptorchidism: a comparison of ChatGPT-5, Gemini, and Grok. [PDF]

Rev Assoc Med Bras (1992)
Demirel D, Ceviz K, Keten T, Gökkaya CS.   +3 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

Artificial Intelligence Can Direct Patients Toward a Complaint-specific Musculoskeletal Provider. [PDF]

J Am Acad Orthop Surg Glob Res Rev
Gazan EC, Emrich CM, Baur AJ, Lum ZC, Bernstein JA, Landy DC.   +5 more
europepmc   +1 more source

Trustworthy and Efficient LLMs Meet Databases

In the rapidly evolving AI era with large language models (LLMs) at the core, making LLMs more trustworthy and efficient, especially in output generation (inference), has gained significant attention. This is to reduce plausible but faulty LLM outputs (a.
Ailamaki, Anastasia, Kim, Kyoungmin
core  

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

Accuracy and response repeatability of three large language models on undergraduate operative dentistry multiple-choice questions. [PDF]

Front Dent Med
Antony JM, Harikrishnan N, Jayasheelan N.   +2 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

Error Detection and Correction in Chinese Radiology Reports Using Large Language Models: Real-World Clinical Validation Study. [PDF]

J Med Internet Res
Zhou J, Wei Y, Cai Q, Chen Y, Edzeafene-Mensah E, Yang Y, Pan Z.   +6 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