Results 141 to 150 of about 65,878 (264)

RETRACTED: Jiang et al. Measuring Liquid Droplet Size in Two-Phase Nozzle Flow Employing Numerical and Experimental Analyses. <i>Micromachines</i> 2022, <i>13</i>, 684. [PDF]

Micromachines (Basel)
Jiang L, Rao W, Deng L, Incecik A, Królczyk G, Li Z.   +5 more
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Bridging the neuro-AI chasm: a framework for scalable, contextually adaptive training resources in large-scale brain data science. [PDF]

Front Psychol
Abrams M, Eke DO, Passecker J, Poline JB, Van Horn J, Marín M.   +5 more
europepmc   +1 more source

Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective Rheumatoid arthritis (RA) is associated with an increased risk of frailty and osteoporosis, but the relationship between frailty and incident osteoporotic fractures in RA is underexplored. Methods Data were from the Veterans Affairs (VA) Rheumatoid Arthritis Registry. Frailty was measured using the VA Frailty Index (VAFI).
Katherine D. Wysham, Hannah F. Brubeck, Aaron Baraff, Punyasha Roul, Namrata Singh, James S. Andrews, Grant W. Cannon, Gary A. Kunkel, Ted R. Mikuls, Bryant R. England, Dolores M. Shoback, Patricia P. Katz, Jose M. Garcia, Ariela R. Orkaby, Joshua F. Baker   +14 more
wiley   +1 more source

The total eclipse of bioinformatics: From disruption to convention, and a gentle warning. [PDF]

PLoS Comput Biol
Ouzounis CA.
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

Editorial: Errors and mistakes in human-robot interactions. [PDF]

Front Robot AI
Giuliani M, Tian L, Salem M, Mirnig N.
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

Computer Vision for Autonomous Drill Jumbos: Detecting Non-Drillable Areas of a Mine Face. [PDF]

Sensors (Basel)
Rösgen M, Pekarski A, Ziegler M, Clausen E.   +3 more
europepmc   +1 more source

Clinical characteristics and concordance of anti‐MDA5 autoantibodies: A multicentre Australian study

Arthritis Care &Research, Accepted Article.
Objectives In Australia, anti‐MDA5 antibodies are exclusively tested by line immunoblot assay (LIA). The clinical concordance of a 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.
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