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JAMA Netw Open
January 2025
Department of Neurology, Duke University School of Medicine, Durham, North Carolina.
Importance: Atrial fibrillation (AF) is the most common, chronic, cardiac arrythmia in older US adults. It is not known whether AF is independently associated with increased risk of retinal stroke (central retinal artery occlusion), a subtype of ischemic stroke that causes severely disabling visual loss in most cases and is a harbinger of further vascular events.
Objective: To determine whether there is an association between AF and retinal stroke.
Clin EEG Neurosci
January 2025
Advanced Brain Monitoring, Carlsbad, CA, USA.
Resting-state EEG measures have shown potential in distinguishing individuals with PTSD from healthy controls. ERP components such as N2, P3, and late positive potential have been consistently linked to cognitive abnormalities in PTSD, especially in tasks involving emotional or trauma-related stimuli. However, meta-analyses have reported inconsistent findings.
View Article and Find Full Text PDFGeroscience
December 2024
Neurotrack Technologies, Inc., Redwood City, CA, USA.
Portable and efficient cognitive screening measures are needed to address the growing need for effective early detection of Alzheimer's disease. The Neurotrack Cognitive Battery (NCB) offers an appealing, web-based application that may be sensitive to early cognitive changes associated with Alzheimer's disease. The NCB contains measures that were conceptually derived from animal lesion studies.
View Article and Find Full Text PDFHeliyon
December 2024
School of Business Administration, Zhongnan University of Economics and Law, Wuhan, 430073, China.
Land use planning tools are essential for effective land management. However, existing research has not thoroughly explored the evolution and future potential of these tools. This study addresses this gap through comprehensive literature review and data collection, mapping the progression of land use planning tools from their inception to their future trajectories.
View Article and Find Full Text PDFInteract J Med Res
November 2024
Evidera, The Ark, London, United Kingdom.
Background: Clinical decision support systems (CDSSs) are designed to assist in health care delivery by supporting medical practice with clinical knowledge, patient information, and other relevant types of health information. CDSSs are integral parts of health care technologies assisting in disease management, including diagnosis, treatment, and monitoring. While electronic medical records (EMRs) serve as data repositories, CDSSs are used to assist clinicians in providing personalized, context-specific recommendations derived by comparing individual patient data to evidence-based guidelines.
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