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http://dx.doi.org/10.2214/AJR.23.29949 | DOI Listing |
Exp Brain Res
March 2025
Department of Psychology, George Mason University, 4400 University Drive, 3F5, Fairfax, VA, 22030, USA.
Shelat and Geisbrecht (in press) challenge Bedi et al.'s (Exp Brain Rese 242(8):2033-2040 2024b) position that perceptual decoupling in the Sustained Attention to Response Task (SART) is unlikely. Instead they argue perceptual decoupling is likely in the SART and advocate for the SART's continued use in perceptual decoupling research.
View Article and Find Full Text PDFInflamm Bowel Dis
March 2025
Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.
Healthcare (Basel)
March 2025
School of Information Studies, McGill University, Montreal, QC H3A 1X1, Canada.
: Online medical consultation (OMC) platforms have become an essential tool for facilitating communication between doctors and patients, providing an efficient way for patients to access healthcare services. However, research on the key drivers of patient satisfaction within this context remains limited. This study aims to identify and prioritize the key factors influencing patient satisfaction on OMC platforms, with a focus on the Chinese "Chunyu Doctor" app as a case study.
View Article and Find Full Text PDFBiom J
April 2025
Department of Statistical Sciences, Università Cattolica del Sacro Cuore, Milan, Italy.
Supervised learning in presence of multiple sets of noisy labels is a challenging task that is receiving increasing interest in the ever-evolving landscape of healthcare analytics. Such an issue arises when multiple annotators are tasked to manually label the same training samples, potentially giving rise to discrepancies in class assignments among the supplied labels with respect to the ground truth. Commonly, the labeling process is entrusted to a small group of domain experts, and different level of experience and subjectivity may result in noisy training labels.
View Article and Find Full Text PDFOrphanet J Rare Dis
March 2025
Rheumatology Unit, Azienda Ospedaliero Universitaria Pisana and Department of Clinical and Experimental Medicine, University of Pisa, ERN ReCONNET, Via Roma 67, Pisa, Italy.
Background: Rare and complex diseases can have a significant impact on family life, and managing the reproductive aspects of patients of childbearing age with rare diseases is often difficult and complex. A European Reference Network (ERN) Transversal Working Group (WG) on Pregnancy and Family Planning was created to join forces to promote and address issues on these topics in rare and low-prevalence diseases.
Objective: To outline the challenges and the good practices related to pregnancy and family planning in rare and complex diseases for healthcare professionals (HCPs).
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