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Prediction of mortality in intensive care unit with short-term heart rate variability: Machine learning-based analysis of the MIMIC-III database.
Comput Biol Med
January 2025
Department of Automation, Tsinghua University, Beijing, China. Electronic address:
Background: Prognosis prediction in the intensive care unit (ICU) traditionally relied on physiological scoring systems based on clinical indicators at admission. Electrocardiogram (ECG) provides easily accessible information, with heart rate variability (HRV) derived from ECG showing prognostic value. However, few studies have conducted a comprehensive analysis of HRV-based prognostic model against established standards, which limits the application of HRV's prognostic value in clinical settings.
View Article and Find Full Text PDFEfficacy of Colchicine for Secondary Prevention of Stroke: A Systematic Review and Meta-Analysis of Randomized Control Trials.
Cureus
December 2024
Cardiology, Pakistan Navy Station (PNS) Shifa, Karachi, PAK.
Colchicine, a long-established anti-inflammatory medication, has emerged as a potential therapeutic agent for secondary prevention of stroke. This systematic review and meta-analysis aimed to evaluate the efficacy and safety of colchicine in preventing secondary stroke by comprehensively synthesizing available evidence. A systematic literature search was conducted across multiple electronic databases from inception to November 15, 2024, using comprehensive search strategies.
View Article and Find Full Text PDFNationwide real-world implementation of AI for cancer detection in population-based mammography screening.
Nat Med
January 2025
Institute for Social Medicine and Epidemiology, University of Lübeck, Lubeck, Germany.
Artificial intelligence (AI) in mammography screening has shown promise in retrospective evaluations, but few prospective studies exist. PRAIM is an observational, multicenter, real-world, noninferiority, implementation study comparing the performance of AI-supported double reading to standard double reading (without AI) among women (50-69 years old) undergoing organized mammography screening at 12 sites in Germany. Radiologists in this study voluntarily chose whether to use the AI system.
View Article and Find Full Text PDFThe Flip Side of the Coin: Giftedness in Pediatric Acute-Onset Neuropsychiatric Syndrome.
Children (Basel)
December 2024
Department of Rehabilitation Science, University at Buffalo, Buffalo, NY 14214, USA.
Individuals with Pediatric Acute-onset Neuropsychiatric Syndrome (PANS), an immune-modulated disorder, experience exacerbation-related neuropsychiatric symptoms, functional impairments, and high rates of developmental diagnosis. The literature describes links between giftedness and mental illness, and giftedness and autoimmune disorders. We sought to explore rates of giftedness among children with PANS as perceived by their caregivers, and to examine whether giftedness was related to PANS symptom severity, persistence, or duration.
View Article and Find Full Text PDFDetection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.
EClinicalMedicine
December 2024
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
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