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http://dx.doi.org/10.1093/nar/gkv1083 | DOI Listing |
Rev Recent Clin Trials
January 2025
Dipartimento Patologia e Cura del Bambino, Regina Margherita AOU Città della Salute e della Scienza di Torino, Presidio Infantile Regina Margherita, Turin, Italy.
Background: Over the past decade, there has been a significant shift from paper-based to digital medical record management, driven largely by advances in digital technology. This transition has led to widespread adoption of Electronic Medical Records (EMRs), with the expectation that paper documentation will soon be fully replaced. In response, the European Medicines Agency's "Guideline on Computerised Systems in Clinical Trials" outlines essential criteria for validated EMR systems to ensure data integrity and security, and sets standards for electronic source documents in clinical trials.
View Article and Find Full Text PDFBMC Med Imaging
January 2025
Department of Pathology, Dr. Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Purpose: To evaluate the staging performance of positron emission tomography/magnetic resonance imaging (PET/MRI) for confirmed esophageal cancer based on the TNM classification system as well as compare it to other alternative modalities (e.g., endoscopic ultrasonography (EUS), computed tomography (CT), MRI, and PET/CT) in a full head-to-head manner.
View Article and Find Full Text PDFBull World Health Organ
February 2025
Department of Evidence and Intelligence for Action in Health, Pan American Health Organization, Washington, DC, USA.
Radiol Artif Intell
January 2025
Human Phenome Institute and Shanghai Pudong Hospital, Fudan University, Shanghai, China.
. The released CMRxRecon2024 dataset is currently the largest and most protocol-diverse publicly available k-space dataset including multi-modality and multi-view cardiac MRI data from 330 healthy volunteers, and each one covers standardized and commonly used clinical protocols. ©RSNA, 2025.
View Article and Find Full Text PDFSignificant advancements in integrated photonics have enabled high-speed and energy efficient systems for various applications, from data communications and high-performance computing to medical diagnosis, sensing, and ranging. However, data storage in these systems has been dominated by electronic memories that in addition to signal conversion between optical and electrical domains, necessitates conversion between analog to digital domains and electrical data movement between processor and memory that reduce the speed and energy efficiency. To date, scalable optical memory with optical control has remained an open problem.
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