AIMC Topic: Sensitivity and Specificity

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Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs.

Medical & biological engineering & computing Jun 6, 2018
Ground-glass opacity (GGO) is a common CT imaging sign on high-resolution CT, which means the lesion is more likely to be malignant compared to common solid lung nodules. The automatic recognition of GGO CT imaging signs is of great importance for ea...
Tomography, X-Ray Computed Sensitivity and Specificity Lung Imaging, Three-Dimensional Humans Neural Networks, Computer Algorithms Lung Neoplasms Image Interpretation, Computer-Assisted
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Accuracy of using natural language processing methods for identifying healthcare-associated infections.

International journal of medical informatics Jun 6, 2018
OBJECTIVE: There is a growing interest in using natural language processing (NLP) for healthcare-associated infections (HAIs) monitoring. A French project consortium, SYNODOS, developed a NLP solution for detecting medical events in electronic medica...
Cross Infection Adult Sensitivity and Specificity Natural Language Processing Hospitals, University Humans Algorithms Intensive Care Units Electronic Health Records
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A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.

IEEE transactions on bio-medical engineering Jun 5, 2018
This paper proposes a segmentation-free radiomics method to classify malignant and benign breast tumors with shear-wave elastography (SWE) data. The method is targeted to integrate the advantage of both SWE in providing important elastic with morphol...
Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Female Sensitivity and Specificity Breast Neoplasms Breast
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Computer-Aided Diagnosis of Anterior Segment Eye Abnormalities using Visible Wavelength Image Analysis Based Machine Learning.

Journal of medical systems Jun 2, 2018
Eye disease is a major health problem among the elderly people. Cataract and corneal arcus are the major abnormalities that exist in the anterior segment eye region of aged people. Hence, computer-aided diagnosis of anterior segment eye abnormalities...
Aged Sensitivity and Specificity Diagnosis, Computer-Assisted Support Vector Machine Humans Eye Abnormalities Algorithms
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Assessment of the Diagnostic Accuracy of Biparametric Magnetic Resonance Imaging for Prostate Cancer in Biopsy-Naive Men: The Biparametric MRI for Detection of Prostate Cancer (BIDOC) Study.

JAMA network open Jun 1, 2018
IMPORTANCE: Multiparametric magnetic resonance imaging (MRI) enhances detection and risk stratification for significant prostate cancer but is time-consuming (approximately 40 minutes) and expensive. Rapid and simpler (approximately 15-minute) bipara...
Aged, 80 and over Prostate Cohort Studies Humans Magnetic Resonance Imaging Sensitivity and Specificity Image-Guided Biopsy Prospective Studies Prostatic Neoplasms Male Middle Aged Prostate-Specific Antigen Reproducibility of Results Aged
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Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms.

Heart (British Cardiac Society) May 31, 2018
OBJECTIVE: To evaluate the diagnostic performance of a deep learning system for automated detection of atrial fibrillation (AF) in photoplethysmographic (PPG) pulse waveforms.
Ventricular Premature Complexes Humans Dimensional Measurement Accuracy Female Electrocardiography Comparative Effectiveness Research Middle Aged Aged Telemedicine Deep Learning Sensitivity and Specificity Atrial Fibrillation Smartphone Male Monitoring, Ambulatory Photoplethysmography
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Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme.

Computer methods and programs in biomedicine May 29, 2018
BACKGROUND: In the time since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in the formulation of an effective and efficient strategy to improve the participation rate has been growing. The aim ...
Normal Distribution Aged Health Status Adult Humans Middle Aged Area Under Curve Sensitivity and Specificity Algorithms Machine Learning ROC Curve Patient Compliance Male Databases, Factual Logistic Models Japan Retrospective Studies Support Vector Machine Female
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Prediction of radiographic abnormalities by the use of bag-of-features and convolutional neural networks.

Veterinary journal (London, England : 1997) May 29, 2018
This study evaluated the feasibility of bag-of-features (BOF) and convolutional neural networks (CNN) for computer-aided detection in distinguishing normal from abnormal radiographic findings. Computed thoracic radiographs of dogs were collected. For...
Dog Diseases Heart Diseases Radiography, Thoracic Animals Diagnosis, Computer-Assisted Lung Diseases Dogs Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity
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Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.

Journal of clinical monitoring and computing May 24, 2018
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome in patients. The overall aim of this stu...
False Positive Reactions Bayes Theorem Signal Processing, Computer-Assisted Hypotension Critical Care Middle Aged Diagnosis, Computer-Assisted Pilot Projects Adolescent Brain Injuries, Traumatic Brain Injuries Area Under Curve Sample Size Young Adult Adult Sensitivity and Specificity Male Humans Intensive Care Units Software Female Databases, Factual Aged Prospective Studies Aged, 80 and over Neural Networks, Computer Machine Learning
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Novel Breast Imaging and Machine Learning: Predicting Breast Lesion Malignancy at Cone-Beam CT Using Machine Learning Techniques.

AJR. American journal of roentgenology May 24, 2018
OBJECTIVE: The purpose of this study is to evaluate the diagnostic performance of machine learning techniques for malignancy prediction at breast cone-beam CT (CBCT) and to compare them to human readers.
Humans Machine Learning Prospective Studies Cone-Beam Computed Tomography Contrast Media Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Iohexol Female Sensitivity and Specificity Breast Neoplasms Middle Aged
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