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Nursing workload: use of artificial intelligence to develop a classifier model.
Revista latino-americana de enfermagem
Jul 5, 2024
OBJECTIVE: to describe the development of a predictive nursing workload classifier model, using artificial intelligence.
The freedom to run: developing an autonomous robot matching the needs of visually impaired citizens to technology opportunities.
Disability and rehabilitation. Assistive technology
Jul 4, 2024
Visual impairment poses significant challenges in daily life, especially when navigating unfamiliar environments, resulting in inequalities and reduced quality of life. This study aimed to gain an in-depth understanding of the needs and perspectives...
Artificial intelligence for detection of prostate cancer in biopsies during active surveillance.
BJU international
Jul 4, 2024
OBJECTIVES: To evaluate a cancer detecting artificial intelligence (AI) algorithm on serial biopsies in patients with prostate cancer on active surveillance (AS).
Image quality of whole-body diffusion MR images comparing deep-learning accelerated and conventional sequences.
European radiology
Jul 4, 2024
OBJECTIVES: To compare the image quality of deep learning accelerated whole-body (WB) with conventional diffusion sequences.
Plasma immune profiling combined with machine learning contributes to diagnosis and prognosis of active pulmonary tuberculosis.
Emerging microbes & infections
Jul 4, 2024
Tuberculosis (TB) remains one of the deadliest chronic infectious diseases globally. Early diagnosis not only prevents the spread of TB but also ensures effective treatment. However, the absence of non-sputum-based diagnostic tests often leads to del...
External validation of a 2-year all-cause mortality prediction tool developed using machine learning in patients with stage 4-5 chronic kidney disease.
Journal of nephrology
Jul 4, 2024
BACKGROUND: Chronic kidney disease (CKD) is associated with increased mortality. Individual mortality prediction could be of interest to improve individual clinical outcomes. Using an independent regional dataset, the aim of the present study was to ...
AI-based differential diagnosis of dementia etiologies on multimodal data.
Nature medicine
Jul 4, 2024
Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. Here, we present an artificial intelligence (AI) model that har...
Deep learning-based segmentation of left ventricular myocardium on dynamic contrast-enhanced MRI: a comprehensive evaluation across temporal frames.
International journal of computer assisted radiology and surgery
Jul 4, 2024
PURPOSE: Cardiac perfusion MRI is vital for disease diagnosis, treatment planning, and risk stratification, with anomalies serving as markers of underlying ischemic pathologies. AI-assisted methods and tools enable accurate and efficient left ventric...
Interpretable Machine Learning Models Based on Shapley Additive Explanations for Predicting the Risk of Cerebrospinal Fluid Leakage in Lumbar Fusion Surgery.
Spine
Jul 4, 2024
STUDY DESIGN: Retrospective study.
Levodopa-induced dyskinesia in Parkinson's disease: Insights from cross-cohort prognostic analysis using machine learning.
Parkinsonism & related disorders
Jul 4, 2024
BACKGROUND: Prolonged levodopa treatment in Parkinson's disease (PD) often leads to motor complications, including levodopa-induced dyskinesia (LID). Despite continuous levodopa treatment, some patients do not develop LID symptoms, even in later stag...
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