AIMC Topic: Adult

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Long-term Glomerular Filtration Rate and Kidney Disease: Improving Global Outcomes Stage Stability After Conversion to Once-Daily Tacrolimus in Kidney Transplant Recipients.

Transplantation proceedings
Close monitoring of estimated glomerular filtration rate (eGFR) is important for early recognition of worsening renal function to prevent further deterioration. Safe conversion from twice-daily tacrolimus (TD-Tac) to once-daily tacrolimus (OD-Tac) ha...

Reproducibility of importance extraction methods in neural network based fMRI classification.

NeuroImage
Recent advances in machine learning allow faster training, improved performance and increased interpretability of classification techniques. Consequently, their application in neuroscience is rapidly increasing. While classification approaches have p...

When robots care: Public deliberations on how technology and humans may support independent living for older adults.

Social science & medicine (1982)
While assistive robots receive growing attention as a potential solution to support older adults to live independently, several scholars question the underlying social, ethical and health policy assumptions. One perplexing issue is determining whethe...

Cuff Pressure Algometry in Patients with Chronic Pain as Guidance for Circumferential Tissue Compression for Wearable Soft Exoskeletons: A Systematic Review.

Soft robotics
In this article, we report on a systematic review of the literature on pressure-pain thresholds induced and assessed by computerized cuff pressure algometry (CPA). The motivation for this review is to provide design guidance on pressure levels for we...

Gait Estimation from Anatomical Foot Parameters Measured by a Foot Feature Measurement System using a Deep Neural Network Model.

Scientific reports
An accurate and credible measurement of human gait is essential in multiple areas of medical science and rehabilitation. Yet, the methods currently available are not only arduous but also costly. Researchers who investigated the relationship between ...

Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network.

Skeletal radiology
OBJECTIVE: To compare performances in diagnosing intertrochanteric hip fractures from proximal femoral radiographs between a convolutional neural network and orthopedic surgeons.

Real-time apnea-hypopnea event detection during sleep by convolutional neural networks.

Computers in biology and medicine
Sleep apnea-hypopnea event detection has been widely studied using various biosignals and algorithms. However, most minute-by-minute analysis techniques have difficulty detecting accurate event start/end positions. Furthermore, they require hand-engi...

Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED.

The American journal of emergency medicine
OBJECTIVE: The prediction of emergency department (ED) disposition at triage remains challenging. Machine learning approaches may enhance prediction. We compared the performance of several machine learning approaches for predicting two clinical outco...

Granulomatosis with polyangiitis in Northeastern Brazil: study of 25 cases and review of the literature.

Advances in rheumatology (London, England)
BACKGROUND: Little has been published about the epidemiology of Granulomatosis with polyangiitis (GPA) in South America, especially in the intertropical zone, and no epidemiological data from Brazil are available. The purpose of the present study was...

Assisting hand function after spinal cord injury with a fabric-based soft robotic glove.

Journal of neuroengineering and rehabilitation
BACKGROUND: Spinal cord injury is a devastating condition that can dramatically impact hand motor function. Passive and active assistive devices are becoming more commonly used to enhance lost hand strength and dexterity. Soft robotics is an emerging...