AIMC Topic: Sensitivity and Specificity

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Low-Cost Robotic Assessment of Visuo-Motor Deficits in Alzheimer's Disease.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 26, 2017
A low-cost robotic interface was used to assess the visuo-motor performance of patients with Alzheimer's disease (AD). Twenty AD patients and twenty age-matched controls participated in this work. The battery of tests included simple reaction times, ...
Diagnostic Techniques, Neurological Cost-Benefit Analysis Psychomotor Performance Equipment Failure Analysis Motor Skills Disorders Equipment Design Italy Reaction Time Alzheimer Disease Humans Female Reproducibility of Results Aged Male Middle Aged Robotics Aged, 80 and over Sensitivity and Specificity
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Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.

Medical image analysis May 13, 2017
Graph-based transductive learning (GTL) is a powerful machine learning technique that is used when sufficient training data is not available. In particular, conventional GTL approaches first construct a fixed inter-subject relation graph that is base...
Disease Progression Parkinson Disease Supervised Machine Learning Alzheimer Disease Humans Machine Learning Female Reproducibility of Results Aged Sensitivity and Specificity Male
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A structured latent model for ovarian carcinoma subtyping from histopathology slides.

Medical image analysis May 9, 2017
Accurate subtyping of ovarian carcinomas is an increasingly critical and often challenging diagnostic process. This work focuses on the development of an automatic classification model for ovarian carcinoma subtyping. Specifically, we present a novel...
Female Reproducibility of Results Sensitivity and Specificity Support Vector Machine Humans Algorithms Ovarian Neoplasms Pattern Recognition, Automated Histological Techniques
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3D deeply supervised network for automated segmentation of volumetric medical images.

Medical image analysis May 8, 2017
While deep convolutional neural networks (CNNs) have achieved remarkable success in 2D medical image segmentation, it is still a difficult task for CNNs to segment important organs or structures from 3D medical images owing to several mutually affect...
Humans Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity Imaging, Three-Dimensional Supervised Machine Learning
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A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses.

Biomedical engineering online May 8, 2017
BACKGROUND: Load cells are often used in rehabilitation robotics to monitor human-robot interaction. While load cells are accurate and suitable for the stationary end-point robots used in rehabilitation hospitals, their cost and inability to conform ...
Man-Machine Systems Transducers, Pressure Robotics Equipment Design Pressure Reproducibility of Results Manometry Sensitivity and Specificity Humans Computer-Aided Design Equipment Failure Analysis Pilot Projects Forearm Orthotic Devices Exoskeleton Device
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Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.

BMC medical imaging May 4, 2017
BACKGROUND: Segmentation of gliomas in multi-parametric (MP-)MR images is challenging due to their heterogeneous nature in terms of size, appearance and location. Manual tumor segmentation is a time-consuming task and clinical practice would benefit ...
Algorithms Female Reproducibility of Results Adult Humans Machine Learning Glioma Magnetic Resonance Imaging Sensitivity and Specificity Image Interpretation, Computer-Assisted Brain Neoplasms Pattern Recognition, Automated Male Image Enhancement User-Computer Interface
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Design and Characterization of a Quasi-Passive Pneumatic Foot-Ankle Prosthesis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 28, 2017
The majority of commercially available passive prosthetic feet are not capable of providing joint mechanics that match that of the intact human ankle. Due to their cantilever design, their stiffness characteristics contrast with what has been observe...
Artificial Limbs Computer-Aided Design Air Pressure Humans Robotics Biomimetics Exoskeleton Device Reproducibility of Results Ankle Joint Equipment Design Joint Prosthesis Sensitivity and Specificity Equipment Failure Analysis Amputees Middle Aged
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Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.

AJNR. American journal of neuroradiology Apr 27, 2017
BACKGROUND AND PURPOSE: Accurate preoperative differentiation of primary central nervous system lymphoma and enhancing glioma is essential to avoid unnecessary neurosurgical resection in patients with primary central nervous system lymphoma. The purp...
Humans Male Image Interpretation, Computer-Assisted Middle Aged Image Enhancement Support Vector Machine Algorithms ROC Curve Central Nervous System Neoplasms Lymphoma Female Glioma Magnetic Resonance Imaging Adult Diagnosis, Differential Sensitivity and Specificity
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Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning.

Biomedical engineering online Apr 27, 2017
BACKGROUND: Reliable detection of central fixation and eye alignment is essential in the diagnosis of amblyopia ("lazy eye"), which can lead to blindness. Our lab has developed and reported earlier a pediatric vision screener that performs scanning o...
Child, Preschool Child Refractometry Fixation, Ocular Retinoscopy Amblyopia Birefringence Vision Screening Sensitivity and Specificity Male Diagnosis, Computer-Assisted Adolescent Neural Networks, Computer Reproducibility of Results Young Adult Adult Humans
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Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks.

Radiology Apr 24, 2017
Purpose To evaluate the efficacy of deep convolutional neural networks (DCNNs) for detecting tuberculosis (TB) on chest radiographs. Materials and Methods Four deidentified HIPAA-compliant datasets were used in this study that were exempted from revi...
Sensitivity and Specificity ROC Curve Humans Tuberculosis, Pulmonary Neural Networks, Computer Radiography, Thoracic Algorithms Retrospective Studies
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