Emergency Medicine physicians experience a significant number of interruptions throughout their work day. One common cause of interruptions is the immediate interpretation of triage electrocardiograms (ECGs). Recent studies have suggested that ECGs interpreted as normal via automated analysis by the ECG machine rarely require urgent cardiac intervention and suggested that providers may not have to be interrupted to interpret these "normal" ECGs. We describe the case of a patient who presented to the Emergency Department (ED) with chest pain and an ECG interpreted as normal by an automated reading from the ECG machine, despite having acute coronary syndrome requiring emergent intervention.
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http://dx.doi.org/10.1016/j.ajem.2024.03.004 | DOI Listing |
Angew Chem Int Ed Engl
January 2025
Central China Normal University, College of Chemistry, Luoyu Road 152, 430079, Wuhan, CHINA.
Constructing oriented crystalline covalent organic framework (COF) membranes with controllable thickness for water purification is highly desirable. Herein, we present a simple and universal protocol to prepare high-quality COF membranes on the inner wall of a glass vessel using a diffusion/modulator dual-mediated solid-liquid/vapor interfacial synthesis strategy. By meticulous control of the solvent and temperature, a thin supersaturated spreading liquid layer was formed on the glass wall surface and served as a confined microreactor for incubating crystal nuclei.
View Article and Find Full Text PDFAlzheimers Dement
January 2025
Department of Neuroscience, Imaging, and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.
Introduction: Machine learning (ML) helps diagnose the mild cognitive impairment-Alzheimer's disease (MCI-AD) spectrum. However, ML is fed with data unavailable in standard clinical practice. Thus, we tested a novel multi-step ML approach to predict cognitive worsening.
View Article and Find Full Text PDFMed Phys
January 2025
Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas, USA.
Background: Adaptive radiotherapy (ART) can compensate for the dosimetric impact of anatomic change during radiotherapy of head-neck cancer (HNC) patients. However, implementing ART universally poses challenges in clinical workflow and resource allocation, given the variability in patient response and the constraints of available resources. Therefore, the prediction of anatomical change during radiotherapy for HNC patients is of importance to optimize patient clinical benefit and treatment resources.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Networks and Cybersecurity, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan.
Diabetic retinopathy stands as a leading cause of blindness among people. Manual examination of DR images is labor-intensive and prone to error. Existing methods to detect this disease often rely on handcrafted features which limit the adaptability and classification accuracy.
View Article and Find Full Text PDFComput Biol Med
January 2025
Dept. Electrical Engineering and Computer Science, University of Stavanger, Kristine Bonnevies vei 22, Stavanger, 4021, Rogaland, Norway.
Around 5%-10% of newborns need assistance to start breathing. Currently, there is a lack of evidence-based research, objective data collection, and opportunities for learning from real newborn resuscitation emergency events. Generating and evaluating automated newborn resuscitation algorithm activity timelines relative to the Time of Birth (ToB) offers a promising opportunity to enhance newborn care practices.
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