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http://dx.doi.org/10.7326/M21-4077 | DOI Listing |
Eur J Case Rep Intern Med
August 2025
Department of General Medicine, Chiba University Hospital, Chiba, Japan.
Introduction: Restless legs syndrome (RLS) is a common sensorimotor disorder that primarily affects the lower extremities. This condition is characterized by unpleasant sensations and an irresistible urge to move the affected body regions, typically during periods of rest or at night. While RLS most commonly involves the legs, atypical variants affecting other body parts, including the arms, abdomen, face, and even the head, have increasingly been reported.
View Article and Find Full Text PDFAnn Intern Med
September 2025
Department of Medicine, Johns Hopkins University School of Medicine, and Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.B.S.).
Electronic health record (EHR) data are increasingly used to develop prediction models that guide clinical decision making at the point of care. These include algorithms that use high-frequency data, like in sepsis prediction, as well as simpler equations, such as the Pooled Cohort Equations for cardiovascular outcome prediction. Although EHR data used in prediction models are often highly granular and more current than other data, there is systematic and nonsystematic missingness in EHR data as there is with most data.
View Article and Find Full Text PDFJ Educ Health Promot
July 2025
Professor, Department of Prosthodontics and Crown and Bridge, Hitkarini Dental College and Hospital, Jabalpur, Madhya Pradesh, India.
Background: ChatGPT is increasingly finding its applicability in various aspects of life, including the healthcare system. However, its use is not so much prevalent as of now among healthcare professionals. The present study aimed to assess the knowledge, awareness, and attitude of healthcare professionals toward the use of ChatGPT.
View Article and Find Full Text PDFIntroduction: Cardiac magnetic resonance (CMR) is the gold standard for assessing left ventricular ejection fraction (LVEF). Artificial intelligence (AI) - based echocardiographic analysis is increasingly utilized in clinical practice.
Objectives: This study compares measurements of LVEF between echocardiography (ECHO) assessed by experts and automated AI, in comparison to CMR as the reference standard.
J Behav Ther Exp Psychiatry
December 2025
Department of Sports Science, University of Innsbruck, Fürstenweg 185, 6020, Innsbruck, Austria.
Background: Therapeutic climbing (TC) is increasingly used as a therapy form in psychosomatic settings. Recent studies have shown its effectiveness in terms of symptom severity and other psychological factors compared to other sports and even to group cognitive behavioural therapy. To gain a deeper understanding of TC, the present study aimed to qualitatively explore the patients' perspectives.
View Article and Find Full Text PDF