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Can structured integration of BI-RADS criteria by a clinical decision rule reduce the number of unnecessary biopsies in BI-RADS 4 lesions? A systematic review and meta-analysis.
Eur Radiol
December 2024
Department of Biomedical Imaging and Image-guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna and General Hospital, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Aim: This systematic review and meta-analysis investigate the added value of structured integration of Breast Imaging Reporting and Data System (BI-RADS) criteria using the Kaiser score (KS) to avoid unnecessary biopsies in BI-RADS 4 lesions.
Material And Methods: A systematic review and meta-analysis were conducted using predefined criteria. Eligible articles, published in English until May 2024, dealt with KS in the context of BI-RADS 4 MRI.
Parental Perceptions of Early Childhood In-Home Research with Monitoring: A Qualitative Study.
J Pediatr
December 2024
Ann & Robert H. Lurie Children's Hospital of Chicago, Stanley Manne Children's Research Institute, Chicago, IL; Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL. Electronic address:
Article Synopsis
- The study aimed to understand parents' views on using home monitoring technologies for early childhood research, focusing on their concerns and enthusiasm.
- Participants included new and expecting parents who took part in interviews about hypothetical studies involving wearable devices, audio monitoring, and environmental sampling.
- Themes from the interviews indicated that while parents were generally positive about participation, they raised concerns about safety, data privacy, and the logistical challenges of involvement, highlighting the need for trust and transparency from researchers.
Automated generation of process simulation scenarios from declarative control-flow changes.
PeerJ Comput Sci
May 2024
Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Business process simulation is an established approach to estimate the potential impact of hypothetical changes on a process, particularly in terms of time and cost-related performance measures. To overcome the complexity associated with manually specifying and fine-tuning simulation models, data-driven simulation (DDS) methods enable users to discover accurate business process simulation models from event logs. However, in the pursuit of accuracy, DDS methods often generate overly complex models.
View Article and Find Full Text PDFTake C.A.R.E of patient safety: A call to action.
Med J Malaysia
November 2024
Sarawak General Hospital, Sarawak, Malaysia.
In a dynamic healthcare environment, patient safety is crucial. A "Conscious Actions Reduce Errors" (C.A.
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