Results 201 to 210 of about 103,011 (308)
Objective To explore whether higher body fat and lower lean mass are associated with greater pain and worse patient‐reported physical function in individuals with hip osteoarthritis (OA). A secondary aim was to examine whether pain and patient‐reported physical function differ according to four body composition profiles: high body fat, low lean mass ...
Alexandra Ryan +10 more
wiley +1 more source
Beyond the pilot phase: exploring the sustainable implementation of artificial intelligence in the English NHS. [PDF]
Patil N, Stavropoulou C.
europepmc +1 more source
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang +10 more
wiley +1 more source
Editorial: Enhancing sports injury management through medical-engineering innovations. [PDF]
Lu C, Sun C, Xu P, Song W, Liu W.
europepmc +1 more source
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
Big Tech and the Rise of Consumer-Facing Health AI Assistants. [PDF]
Athni TS.
europepmc +1 more source
Distinct Systemic Sclerosis Phenotypes Related to Ethnicity: An Opportunity to Personalize Care?
Objective The objective is to describe and compare demographic, clinical, and serological characteristics of patients with systemic sclerosis (SSc) according to ethnic background. Methods Participants enrolled in the Canadian Scleroderma Research Group cohort who self‐identified to a single ethnicity group were included.
Danick Goulet +11 more
wiley +1 more source
A digital transformation and consumption patterns of the "New older adults" in China: a systematic review of technological adaptation and learning mechanisms. [PDF]
Shao B +5 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Editorial: Exploring immunological tolerance in allergy treatment through AIT. [PDF]
Vizzardelli C.
europepmc +1 more source

