Results 151 to 160 of about 1,094,546 (323)
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah +5 more
wiley +1 more source
Modeling the impact of cochlear nerve degeneration on speech recognition performance. [PDF]
Vasilkov V, Liberman MC, Maison SF.
europepmc +1 more source
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli +8 more
wiley +1 more source
Threshold-distance functions predict speech recognition with cochlear implants. [PDF]
Kludt E +8 more
europepmc +1 more source
Automatic speech recognition and training for severely dysarthric users of assistive technology: The STARDUST project [PDF]
Mark Parker +4 more
openalex +1 more source
Objective We aimed to identify unique disease trajectories within rheumatoid arthritis–associated interstitial lung disease (RA‐ILD) based on longitudinal forced vital capacity (FVC) values and their associated clinical outcomes. Methods We performed a cohort study of RA‐ILD within the Veterans Health Administration from 1999 to 2021.
Bryant R. England +9 more
wiley +1 more source
Objectives This study aims to describe the frequency and timing of physician referrals to physical therapists (PT) and other treatments prescribed over 12 months in patients with recent onset of knee osteoarthritis (KOA). The study also aims to identify determinants of early PT referrals.
Samannaaz S. Khoja +4 more
wiley +1 more source

