Results 221 to 230 of about 12,057,244 (369)

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

open access: yesArthritis 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   +26 more
wiley   +1 more source

Physician Referral Patterns to Physical Therapists for Managing Knee Osteoarthritis: A Retrospective Analysis of Electronic Health Records from an Integrated Health System

open access: yesArthritis Care &Research, Accepted Article.
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

Preferences for post‐traumatic osteoarthritis prevention strategies in individuals with anterior cruciate ligament injury

open access: yesArthritis Care &Research, Accepted Article.
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy   +9 more
wiley   +1 more source

Correction: MMDental - A multimodal dataset of tooth CBCT images with expert medical records. [PDF]

open access: yesSci Data
Wang C   +9 more
europepmc   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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