AIMC Topic: Adult

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Artificial neural networks predict the incidence of portosplenomesenteric venous thrombosis in patients with acute pancreatitis.

Journal of thrombosis and haemostasis : JTH
UNLABELLED: Essentials Predicting the occurrence of portosplenomesenteric vein thrombosis (PSMVT) is difficult. We studied 72 patients with acute pancreatitis. Artificial neural networks modeling was more accurate than logistic regression in predicti...

Ambient intelligence framework for real-time speech-to-sign translation.

Assistive technology : the official journal of RESNA
Sign language can be used to facilitate communication with and between deaf or hard of hearing (Deaf/HH). With the advent of video streaming applications in smart TVs and mobile devices, it is now possible to use sign language to communicate over wor...

Enhanced Hazard Analysis and Risk Assessment for Human-in-the-Loop Systems.

Human factors
OBJECTIVE: The objective of this study was to enhance the existing system hazard analysis (SHA) technique by introducing the concepts of human and automation reliability quantification as well as fuzzy classification of system risks. These enhancemen...

Initial Experience Using a Telerobotic Ultrasound System for Adult Abdominal Sonography.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
PURPOSE: The study sought to assess the feasibility of performing adult abdominal examinations using a telerobotic ultrasound system in which radiologists or sonographers can control fine movements of a transducer and all ultrasound settings from a r...

The impact of robot-mediated adaptive I-TRAVLE training on impaired upper limb function in chronic stroke and multiple sclerosis.

Disability and rehabilitation. Assistive technology
PURPOSE: The current study aimed to investigate proof-of-concept efficacy of an individualized, robot-mediated training regime for people with MS (pwMS) and stroke patients.

Patient-Centered Robot-Aided Passive Neurorehabilitation Exercise Based on Safety-Motion Decision-Making Mechanism.

BioMed research international
Safety is one of the crucial issues for robot-aided neurorehabilitation exercise. When it comes to the passive rehabilitation training for stroke patients, the existing control strategies are usually just based on position control to carry out the tr...

Reliability of Robotic Telemedicine for Assessing Critically Ill Patients with the Full Outline of UnResponsiveness Score and Glasgow Coma Scale.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
PURPOSE: Telemedicine is increasingly utilized in the evaluation of critically ill patients, including those with decreased level of consciousness (LOC) or coma. Improving access to providers with neurologic expertise affords earlier triage and direc...

Statistical learning of parts and wholes: A neural network approach.

Journal of experimental psychology. General
Statistical learning is often considered to be a means of discovering the units of perception, such as words and objects, and representing them as explicit "chunks." However, entities are not undifferentiated wholes but often contain parts that contr...

Premature atherosclerosis after treatment for acute lymphoblastic leukemia in childhood.

Annals of agricultural and environmental medicine : AAEM
INTRODUCTION: Late cardiovascular complications are the leading causes of morbidity and mortality in patients treated for common malignancies of childhood. Late cardiotoxicity include increased development of atherosclerosis and atherosclerosis - rel...

Unsupervised frequency-recognition method of SSVEPs using a filter bank implementation of binary subband CCA.

Journal of neural engineering
OBJECTIVE: Recently developed effective methods for detection commands of steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) that need calibration for visual stimuli, which cause more time and fatigue prior to the use, ...