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
Towards federated learning for face recognition: a comprehensive review of secure and privacy-preserving techniques and prospective research. [PDF]
Muhammed A, Marcos J, Gonçalves N.
europepmc +1 more source
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source
Objective Gastrointestinal (GI) involvement can lead to malnutrition in patients with systemic sclerosis (SSc). Body mass index (BMI) remains the most widely used marker to screen nutritional status. We aimed to identify predictors of lower BMI in patients with SSc. Methods Patients with SSc from a prospective US cohort meeting 2013 American College of
Ali Y. Ayla +8 more
wiley +1 more source
Accuracy and Usability of Emergency Department Diagnostic Codes: A Multicentre Observational Study. [PDF]
Tran V +5 more
europepmc +1 more source
Machine Learning-Based Prediction Model of Pilgrims' Tiredness During Hajj Using Smartwatch Physiological and Mobility Indicators. [PDF]
Alshamrani M +7 more
europepmc +1 more source
The Association Between Postoperative Fluid Balance and Postoperative Complications in Adults Undergoing Gastrointestinal Surgery: Protocol for a Scoping Review. [PDF]
Gundersen ME, Konradsen H, Brandstrup B.
europepmc +1 more source
Using electronic health record audit logs to identify pediatric intensive care unit teams. [PDF]
Nguyen LM +12 more
europepmc +1 more source
Detecting Young Children's Deception Using Facial Expression Analysis With High Dimensional Statistical Methods. [PDF]
Wang W, Ding XP, Zhang X, Dai M.
europepmc +1 more source

