Results 211 to 220 of about 9,718,541 (278)

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

Arthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale, Nuria E. J. Jansen, Christina Y. Le, Leo Lu, Hui Xie, Marienke van Middelkoop, Jackie L. Whittaker   +6 more
wiley   +1 more source

An Immersed Interface Method for Incompressible Flows and Near Contact. [PDF]

J Comput Phys
Facci MJ, Sun Q, Griffith BE.
europepmc   +1 more source

Employment Trajectories of Patients With Systemic Lupus Erythematosus and Factors Driving Transitions Between States

Arthritis Care &Research, EarlyView.
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo, Zahi Touma, Laura Whittall Garcia, Dafna D. Gladman, Behdin Nowrouzi‐Kia   +4 more
wiley   +1 more source

Evaluating methods for testing publication bias in meta-analyses with confounding covariates: A simulation study. [PDF]

Behav Res Methods
Chen M.
europepmc   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Thermal convective and flow dynamics of blood trihybrid nanofluid inside a stenosis artery for cardiovascular disease treatment using artificial intelligence approach. [PDF]

Discov Nano
Mrabet B, Ponnore JJ, Jawo R, Yildirim Y.   +3 more
europepmc   +1 more source

Rheumatoid Arthritis, Frailty, and Outcomes of Surgical Hospitalizations: A National Population‐Based Analysis

Arthritis Care &Research, EarlyView.
Objective Hospitalization, particularly for surgery, represents a period of heightened stress. We evaluated how frailty attenuates the association of rheumatoid arthritis (RA) with negative health outcomes after elective noncardiac surgery. Methods We conducted a cross‐sectional study using the National Inpatient Sample (2018 to 2020), including adults
Ali Yazdanyar, Joshua Baker, Katherine D. Wysham, Mohammed Yousufuddin, Farah Acher Kaiksow, Michael M. Ward   +5 more
wiley   +1 more source

Comparative evaluation of VoxelMorpand conventional deformable image registration algorithms for thoracic 4D-CT in radiotherapy. [PDF]

J Appl Clin Med Phys
Sakai M, Nakao M, Hirashima H, Yoneyama M, Kishi N, Mizowaki T, Nakamura M.   +6 more
europepmc   +1 more source

Generative Artificial Intelligence in Clinical Practice: How Should Rheumatologists Evaluate and Monitor Emerging Tools?

Arthritis Care &Research, EarlyView.
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo, Mrinalini Dey, Jinoos Yazdany   +2 more
wiley   +1 more source