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Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis.
J Med Internet Res
January 2025
Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.
View Article and Find Full Text PDFPrevalence of Pathogenic Variants and Eligibility Criteria for Genetic Testing in Patients Who Visit a Memory Clinic.
Neurology
February 2025
Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, the Netherlands.
Background And Objectives: Identifying genetic causes of dementia in patients visiting memory clinics is important for patient care and family planning. Traditional clinical selection criteria for genetic testing may miss carriers of pathogenic variants in dementia-related genes. This study aimed identify how many carriers we are missing and to optimize criteria for selecting patients for genetic counseling in memory clinics.
View Article and Find Full Text PDFNursing team proxemic mapping in the hemotherapy space.
Rev Esc Enferm USP
January 2025
Universidade Federal do Rio de Janeiro, Escola de Enfermagem Anna Nery, Departamento de Enfermagem Médico-Cirúrgica, Rio de Janeiro, RJ, Brazil.
Objective: To analyze the influence of proxemic factors on communication and care provided by nursing professionals during transfusion in hemotherapy.
Method: A descriptive, exploratory and qualitative study with 25 nursing professionals from a hospital specializing in onco-hematological diseases in Rio de Janeiro, based on a systematized script, individual records of proxemic factors described by Edward Hall and recorded situational interviews. The analysis considered data thematic content and used the SketchUp 3D Modeling Software Review program to visually demonstrate the behavioral mapping of the interaction of nursing professionals with patients during care.
Poor Olfaction and Risk of Stroke in Older Adults: The Atherosclerosis Risk in Communities Study.
Stroke
February 2025
Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing (K.W.C., C.L., Z.L., M.R., H.C.).
Background: Poor olfaction may be associated with adverse cerebrovascular events, but empirical evidence is limited. We aimed to investigate the association of olfaction with the risk of stroke in the Atherosclerosis Risk in Communities Study.
Methods: We included 5799 older adults with no history of stroke at baseline from 2011 to 2013 (75.
Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition.
PLoS Comput Biol
January 2025
Department of Experimental Psychology, Justus Liebig University Giessen, Giessen, Germany.
The human visual system possesses a remarkable ability to detect and process faces across diverse contexts, including the phenomenon of face pareidolia--seeing faces in inanimate objects. Despite extensive research, it remains unclear why the visual system employs such broadly tuned face detection capabilities. We hypothesized that face pareidolia results from the visual system's optimization for recognizing both faces and objects.
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