Results 191 to 200 of about 7,969,703 (297)

Generative AI Utilization and Perspectives Among Reproductive‐Age Women with Systemic Autoimmune and Rheumatic Diseases

Arthritis Care &Research, Accepted Article.
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif, Catherine Wright, Samantha Rodriguez, Sarah Graves, Tamar Krishnamurti, Mehret Birru Talabi   +5 more
wiley   +1 more source

Positive Affect is Associated with Better Physical Function in Early Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Objective This study examined the association between positive affect and physical function in individuals with early rheumatoid arthritis (RA). Methods We analyzed baseline data from 129 adults with early RA (persistent joint symptoms for ≤ 24 months) and active disease enrolled in the Central Pain in RA 2 (CPIRA‐2) study.
Burcu Aydemir, Jing Song, Lutfiyya N. Muhammad, Wendy Marder, Kevin Deane, Clifton Bingham, Lisa A. Mandl, Robert Edwards, Judith T. Moskowitz, Yvonne C. Lee   +9 more
wiley   +1 more source

Cardiovascular Risks in Autoimmune and Inflammatory Diseases. [PDF]

J Clin Med
Rezus E, Rezus C.
europepmc   +1 more source

Estimating the prevalence and incidence of symptomatic hand OA in the Netherlands using primary care electronic health records.

Arthritis Care &Research, Accepted Article.
Objective This study estimated the incidence and prevalence of symptomatic hand osteoarthritis (OA) in the Dutch population using a validated algorithm that integrates free‐text data from primary care electronic health records (EHRs). Methods This retrospective cohort study used the Integrated Primary Care Information (IPCI) database, including EHRs ...
Onur Kaya, Jacoline van den Driest, Laura Struik, Margreet Kloppenburg, Ruud Selles, Daniel Prieto Alhambra, Sita Bierma‐Zeinstra, Dieuwke Schiphof   +7 more
wiley   +1 more source

The impact of a rapid risk of bias assessment compared to a traditional assessment with QUADAS-2

Haston S, Kenny RP, Meader N, Spiers GF, Tanner L, Sagoo GS, Norman G.   +6 more
europepmc   +1 more source

A comparative evaluation of ChatGPT-assisted and traditional methods of teaching diagnostic assessments to medical students: A randomized controlled study. [PDF]

Medicine (Baltimore)
Xu H, Sun Y, Mo ZW, Man YN, Liu SM, Wei YN, He ML, He ML.   +7 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

An Anesthesia-Free Pharmacological Assay for Zebrafish Heart Failure Models Using a Microfluidic Platform. [PDF]

Biomedicines
Song Q, Liu F, Zhao J, Xie W, Fu X, Xu K.   +5 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Artificial Intelligence-Supported Performance-Based Assessment in Oral Radiology Education: A Constructive Alignment Perspective. [PDF]

Diagnostics (Basel)
Coşkun Albayrak S, Gürel FS, Kubat G, Coşkun Ö, Budakoğlu Iİ, Orhan K.   +5 more
europepmc   +1 more source