Effect of transcutaneous electrical nerve stimulation on postoperative pain and fear in children undergoing abdominal surgery: a randomized controlled trial. [PDF]
Sezer HK +3 more
europepmc +1 more source
Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?
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
Immediate effects of TENS intervention in bruxers with localized masticatory muscle hyperalgesia: a randomized, double-blinded, proof-of-concept study. [PDF]
Chen R +10 more
europepmc +1 more source
Objectives This study synthesised the content and reporting completeness of published physical therapist‐led interventions for glenohumeral osteoarthritis (GHOA). Methods This systematic review undertook electronic database searches in PubMed, EMBASE, Cochrane, CINAHL and PEDro (until June 2025) for any peer‐reviewed articles/studies describing ...
Daha G Muhammad +5 more
wiley +1 more source
Current Intensity and Immediate Analgesic Effects of Transcutaneous Electrical Nerve Stimulation in Patients with Lumbosacral Pain: A Preliminary Observational Study. [PDF]
Witkoś J +5 more
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Effect of Transcutaneous Electrical Nerve Stimulation on Multidimensional Pain Outcomes After Thoracic Surgery: A Secondary Analysis of a Randomized Controlled Trial. [PDF]
Álamo-Arce DD +8 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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
Advances in physiotherapy for chronic low-back pain: a level I systematic review. [PDF]
Migliorini F +5 more
europepmc +1 more source
openaire +13 more sources

