Results 161 to 170 of about 1,011,379 (271)
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
Ibogaine's potential role in supporting reward system recovery across diagnostic boundaries. [PDF]
Nicolas M.
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
The Effects of Repeated Finger Flexion Movements on Self-Reported Affect and Reward System Activation Are Weak and Inconsistent. [PDF]
Vander Missen MR +8 more
europepmc +1 more source
Two spatiotemporally distinct value systems shape reward-based learning in the human brain [PDF]
Elsa Fouragnan +3 more
openalex +1 more source
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 +13 more
wiley +1 more source
Reward System EEG-fMRI-Pattern Neurofeedback for Major Depressive Disorder with Anhedonia: A Multicenter Pilot Study. [PDF]
Amital D +12 more
europepmc +1 more source

