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Delirium in the intensive care unit: identifying difficulties in applying the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU)
BackgroundDelirium is an underdiagnosed condition and this may be related, among other causes, to the incorrect use of assessment tools due to lack...
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Three-Minute Diagnostic Assessment for Delirium using the Confusion Assessment Method (3D-CAM): French translation and cultural adaptation
PurposeThe routine use of validated diagnostic instruments is key to identifying delirious patients early and expediting care. The 3-Minute...
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Natural language processing diagnosed behavioral disturbance vs confusion assessment method for the intensive care unit: prevalence, patient characteristics, overlap, and association with treatment and outcome
PurposeTo compare the prevalence, characteristics, drug treatment for delirium, and outcomes of patients with Natural Language Processing (NLP)...
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Preliminary study of standardized semiquantitative method for ultrasonographic breast composition assessment
PurposeTo develop a classification tree via semiquantitative analysis for ultrasonographic breast composition assessment using routine breast...
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What are the current diabetic foot assessment methods in private podiatry practices in Flanders, Belgium: an exploratory mixed method study
BackgroundDiabetic foot assessments detect patients at risk for develo** a diabetes-related foot ulceration and can significantly reduce the risk...
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How subjective CT image quality assessment becomes surprisingly reliable: pairwise comparisons instead of Likert scale
ObjectivesThe aim of this study is to improve the reliability of subjective IQ assessment using a pairwise comparison (PC) method instead of a Likert...
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Sodium, potassium intake, and all-cause mortality: confusion and new findings
BackgroundThe World Health Organization (WHO) has established recommended daily intakes for sodium and potassium. However, there is currently some...
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Enhancing study quality assessment: an in-depth review of risk of bias tools for meta-analysis—a comprehensive guide for anesthesiologists
BackgroundYearly, a multitude of randomized controlled trials are published, overwhelming clinicians with conflicting information; this data...
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A deep learning method for the automated assessment of paradoxical pulsation after myocardial infarction using multicenter cardiac MRI data
ObjectiveThe current study aimed to explore a deep convolutional neural network (DCNN) model that integrates multidimensional CMR data to accurately...
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A Tunisian version of the confusion assessment method for the intensive care unit (CAM-ICU): translation and validation
BackgroundDelirium is common in critically ill patients and it is associated with poor outcomes. In Tunisia, however, it is still underdiagnosed as...
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Credibility of ChatGPT in the assessment of obesity in type 2 diabetes according to the guidelines
BackgroundThe Chat Generative Pre-trained Transformer (ChatGPT) allows students, researchers, and patients in the medical field to access information...
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Which Comprehensive Geriatric Assessment (CGA) instruments are currently used in Germany: a survey
BackgroundThe Comprehensive Geriatric Assessment (CGA) records geriatric syndromes in a standardized manner, allowing individualized treatment...
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Frailty assessment in critically ill older adults: a narrative review
Frailty, a condition that was first defined 20 years ago, is now assessed via multiple different tools. The Frailty Phenotype was initially used to...
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Deep learning model for automatic image quality assessment in PET
BackgroundA variety of external factors might seriously degrade PET image quality and lead to inconsistent results. The aim of this study is to...
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FAST skill assessment from kinematics data using convolutional neural networks
PurposeFAST is a point of care ultrasound study that evaluates for the presence of free fluid, typically hemoperitoneum in trauma patients. FAST is...
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Risk assessment of imported malaria in China: a machine learning perspective
BackgroundFollowing China’s official designation as malaria-free country by WHO, the imported malaria has emerged as a significant determinant...
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Automatic speech-based assessment to discriminate Parkinson’s disease from essential tremor with a cross-language approach
Parkinson’s disease (PD) and essential tremor (ET) are prevalent movement disorders that mainly affect elderly people, presenting diagnostic...
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Electroencephalography in delirium assessment: a sco** review
BackgroundDelirium is a common disorder affecting around 31% of patients in the intensive care unit (ICU). Delirium assessment scores such as the...
