Results 171 to 180 of about 88,823 (266)

Role of artificial intelligence in gastric diseases. [PDF]

World J Gastroenterol
Gong EJ, Woo J, Lee JJ, Bang CS.
europepmc   +1 more source

LOXHD1 and RHOB Expression by Monocytes Predicts Progressive Systemic Sclerosis associated Interstitial Lung Disease

Arthritis Care &Research, Accepted Article.
Objective A leading cause of death among scleroderma (SSc) patients, interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M Padilla, Robert Lafyatis, Kevin F Gibson, Christina Morse, Eleanor Valenzi, Xiaoping Chen, Xiaoyun Li, Yanwu Zhao, Yongseok Park, Dana Ascherman, Jonathan Minden, Robyn Domsic, Yingze Zhang, Daniel J Kass   +13 more
wiley   +1 more source

Leveraging assistive technology for visually impaired people through optimal deep transfer learning based object detection model. [PDF]

Sci Rep
Adam MMS, Aljehane NO, Alzahrani MY, Al Zanin S.   +3 more
europepmc   +1 more source

Virtual or in‐person: does it matter? Comparing pain, function, quality of life, self‐efficacy and physical function outcomes of virtual, hybrid and in‐person GLA:D Canada participants

Arthritis Care &Research, Accepted Article.
Objective This study aimed to determine if program format (in‐person, virtual, hybrid) results in differences in three‐month outcomes of pain, function, quality of life, self‐efficacy and chair stands in a hip/knee osteoarthritis management program. Methods A secondary analysis of the GLA:DTM Canada database was completed.
Jill Van Damme, Vanina Dal Bello‐Haas, Ayse Kuspinar, Patricia Strachan, Michael Zywiel, James Young, Rhona McGlasson, Lisa C. Carlesso   +7 more
wiley   +1 more source

Autoimmune gastritis detection from preprocessed endoscopy images using deep transfer learning and moth flame optimization. [PDF]

Sci Rep
Almutairi FM, Althubiti SA, Aslam SM, Dhahri H, Alhajlah O, Mittal N.   +5 more
europepmc   +1 more source

Hip morphology‐based osteoarthritis risk prediction models: development and external validation using individual participant data from the World COACH Consortium

Arthritis Care &Research, Accepted Article.
Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg, Fleur Boel, Michiel M.A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M.A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B.J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

Deep feature engineering for accurate sperm morphology classification using CBAM-enhanced ResNet50. [PDF]

PLoS One
Kılıç Ş.
europepmc   +1 more source

Adipokines and Associations with Incident Osteoporotic Fracture in Patients with Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Purpose We assessed whether circulating adipokines are associated with incident fractures in patients with rheumatoid arthritis (RA). Methods Three adipokines (adiponectin, leptin, fibroblast growth factor [FGF]‐21) were measured using banked enrollment serum from participants in a longitudinal RA cohort.
Joshua F. Baker, Bryant R. England, Michael D. George, Hannah Brubeck, Brian Sauer, Aleksander Lenert, Punyasha Roul, Geoffrey M. Thiele, Ted R. Mikuls, Katherine D. Wysham   +9 more
wiley   +1 more source

Evaluating deep learning approaches for AI-assisted lung ultrasound diagnosis: an international multi-center and multi-scanner study. [PDF]

Ultrasound J
Muñoz M, Han X, Camacho J, Perrone T, Smargiassi A, Inchingolo R, Tung-Chen Y, Demi L.   +7 more
europepmc   +1 more source

Knee crepitus and osteoarthritis features in young adults following traumatic knee injury

Arthritis Care &Research, Accepted Article.
Objective This study explored the association between knee crepitus and the presence, and worsening, of structural osteoarthritis features and self‐reported outcomes in young adults following traumatic knee injury. Methods One‐year following anterior cruciate ligament reconstruction (ACLR), 112 participants (41 female participants; median age 28 years)
Jamon L Couch, Brooke E Patterson, Kay M Crossley, Ali Guermazi, Matthew G King, Danilo De Oliveira Silva, Jackie L Whittaker, Michael A Girdwood, Adam G Culvenor   +8 more
wiley   +1 more source