Results 171 to 180 of about 87,820 (213)

Examining the Interchangeability of Two Different Patient‐Reported Global Assessment Measures in an Observational Axial Spondyloarthritis Cohort

open access: yesArthritis Care &Research, EarlyView.
Objective The goal of this study was to determine if patient global assessment (PGA) scores reported by patients with axial spondyloarthritis (AxSpA) before the development of the AxSpA Disease Activity Score (ASDAS) can be used as a substitute for the global item of the ASDAS formula.
Connor Vershel   +8 more
wiley   +1 more source

PSAFM: A parameter-free spatial attention fusion module. [PDF]

open access: yesPLoS One
Liu G, Xu X, Zhou B, Wang F, Li Y.
europepmc   +1 more source

The association of gout flare resolution with physical activity and sleep: a prospective remote‐monitoring study

open access: yesArthritis Care &Research, Accepted Article.
Objectives This study aimed to determine whether gout flare resolution is associated with physical activity and sleep. These findings were intended to inform the future development of a definition for flare resolution. Methods Data from 81 participants with gout who experienced >1 flare during a 6‐month prospective observational study were included ...
Sarah Stewart   +12 more
wiley   +1 more source

Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?

open access: yesArthritis Care &Research, Accepted Article.
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   +2 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

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