Results 171 to 180 of about 5,278,573 (290)

A reproducible, diagnostic-guided hybrid Laplace workflow for generalized linear mixed models. [PDF]

MethodsX
Hamasha MM.
europepmc   +1 more source

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

Adolescents' Perspectives on Uptake, Engagement, and Implementation to Inform the Development of a Preventive Transdiagnostic Digital Mental Health Intervention: Qualitative Interview Study. [PDF]

J Med Internet Res
Hirsig A, Walder N, Häfeli XA, Schmidt SJ.   +3 more
europepmc   +1 more source

Clinical Characteristics and Concordance of Anti‐MDA5 Antibodies: A Multicenter Australian Study

Arthritis Care &Research, EarlyView.
Objective In Australia, anti‐MDA5 antibodies are exclusively tested by a line immunoblot assay (LIA). The clinical concordance of an LIA‐positive anti‐MDA5 result is unclear. We aimed to describe the clinical features and determine the clinical concordance of patients with anti‐MDA5 antibodies. Methods Electronic records of a multisite cohort (patients
Syed B. Ali, Thomas Khoo, Keeran Shivakumar, Adam Caroll, Lauren Hender, Dimitra Beroukas, Kim Griggs, Celina Jin, Theo De Malmanche, Jessica Day, Gabor Major, Vidya Limaye   +11 more
wiley   +1 more source

From Evidence to Implementation: FIB-4-Based Risk Stratification for Advanced Liver Disease in Saudi Primary Care. [PDF]

Medicina (Kaunas)
Alenezi YM.
europepmc   +1 more source

Real‐World Safety of Concomitant Colchicine and Statin Therapy

Arthritis Care &Research, EarlyView.
Objective This study aimed to evaluate the risk of clinically meaningful muscle‐ and liver‐related outcomes associated with concomitant colchicine–statin therapy in a real‐world setting, and to determine whether concomitant therapy increases the incidence of toxicity compared with either agent alone.
Roni Meidan, Ranel Loutati, Dan Caspi, Ori Elkayam, Ran Abuhasira, Tali Eviatar   +5 more
wiley   +1 more source

Computer-aided detection pragmatic threshold calibration in TB active case finding: A mixed-methods study in Tondo, Manila. [PDF]

PLOS Glob Public Health
Carnimeo V, Phillips EY, Galvan DK, Camelique O, Roxas MR, Duka M, Pardilla GF, Recidoro MJC, Castro RH, Hossain F, Huerga H, Hewison C, Min J.   +12 more
europepmc   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High Body Mass Index

Arthritis Care &Research, EarlyView.
Objective High body mass index (BMI ≥ 27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Technological Integration in Triage With AI and Machine Learning Compared With Conventional Triage and Narrative Synthesis of Telehealth for Patient Prioritization in Emergency and Acute Care Settings: Systematic Review and Meta-Analysis. [PDF]

J Med Internet Res
Ashour FOM, Sami W, Alrimawi I, Rizvi MR, El-Banna MM.   +4 more
europepmc   +1 more source

Artificial Intelligence‐Driven Extraction of Patient‐Reported Pain Outcomes in Osteoarthritis Using Large Language Models

Arthritis Care &Research, Accepted Article.
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi, Stephen Batter, Yiyuan Wu, William Salerno, Alice Santilli, Sandhya Kannayiram, Susan Goodman, Bella Mehta   +7 more
wiley   +1 more source