Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1046/j.1540-8167.2002.01262.x | DOI Listing |
Stat Med
February 2025
Department of Biostatistics and Beijing International Center for Mathematical Research, Peking University, Beijing, China.
The ideal evaluation of diagnostic test performance requires a reference test that is free of errors. However, for many diseases, obtaining such a "gold standard" reference is either impossible or prohibitively expensive. Estimating test accuracy in the absence of a gold standard is therefore a significant challenge.
View Article and Find Full Text PDFInfancy
January 2025
Department of Psychology, Lancaster University, Lancaster, UK.
Humans are curious. Especially children are known for their drive to explore and learn, which is crucial for developing in and navigating through our complex world. Naturally, some children may be more curious than others, leading to differences in how they structure their own learning experiences, subsequently impacting their developmental trajectories.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Department of Orthopaedic Surgery, Hyogo Prefectural Nishinomiya Hospital, 13-9, Rokutanji, Nishinomiya, 662-0918, Japan.
Purpose: Evaluating sacral fractures is crucial in fragility fractures of the pelvis. Dual-energy CT (DECT) is considered useful for diagnosing unclear fractures on single-energy CT (SECT). This study aims to investigate the effectiveness of DECT in diagnosing sacral fractures.
View Article and Find Full Text PDFTomography
January 2025
Medical Physics Unit, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy.
Background: Computed tomography scans are widely used in everyday medical practice due to speed, image reliability, and detectability of a wide range of pathologies. Each scan exposes the patient to a radiation dose, and performing a fast estimation of the effective dose (E) is an important step for radiological safety. The aim of this work is to estimate E from patient and CT acquisition parameters in the absence of a dose-tracking software exploiting machine learning.
View Article and Find Full Text PDFJMIR Med Educ
January 2025
Centre for Digital Transformation of Health, University of Melbourne, Carlton, Australia.
Background: Learning health systems (LHS) have the potential to use health data in real time through rapid and continuous cycles of data interrogation, implementing insights to practice, feedback, and practice change. However, there is a lack of an appropriately skilled interprofessional informatics workforce that can leverage knowledge to design innovative solutions. Therefore, there is a need to develop tailored professional development training in digital health, to foster skilled interprofessional learning communities in the health care workforce in Australia.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!