AIMC Topic: Sensitivity and Specificity

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Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data.

BMC medical informatics and decision making Nov 21, 2019
BACKGROUND: Neuropsychological tests (NPTs) are important tools for informing diagnoses of cognitive impairment (CI). However, interpreting NPTs requires specialists and is thus time-consuming. To streamline the application of NPTs in clinical settin...
Deep Learning Cognitive Dysfunction Age Factors Alzheimer Disease Datasets as Topic Neuropsychological Tests Neural Networks, Computer Machine Learning Algorithms Sensitivity and Specificity Humans
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Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction.

Computer methods and programs in biomedicine Nov 20, 2019
BACKGROUND AND OBJECTIVE: Videocapsule endoscopy (VCE) is a relatively new technique for evaluating the presence of villous atrophy in celiac disease patients. The diagnostic analysis of video frames is currently time-consuming and tedious. Recently,...
Calibration Capsule Endoscopy Celiac Disease Image Processing, Computer-Assisted Support Vector Machine Intestinal Mucosa Endoscopy Discriminant Analysis Sensitivity and Specificity Humans Diagnosis, Computer-Assisted Machine Learning Deep Learning Algorithms Light Reproducibility of Results Video Recording Image Interpretation, Computer-Assisted Linear Models
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Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.

European radiology Nov 20, 2019
OBJECTIVE: To investigate the feasibility of a deep learning-based detection (DLD) system for multiclass lesions on chest radiograph, in comparison with observers.
Humans Female Aged Area Under Curve Radiography Pleural Effusion Deep Learning Lung Diseases Lung Diseases, Interstitial Adult Pneumothorax ROC Curve Radiography, Thoracic Pleural Diseases Lung Neoplasms Sensitivity and Specificity Solitary Pulmonary Nodule Male Middle Aged
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Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.

Radiology Nov 19, 2019
Background Deep learning (DL) algorithms are gaining extensive attention for their excellent performance in image recognition tasks. DL models can automatically make a quantitative assessment of complex medical image characteristics and achieve incre...
Feasibility Studies Image Interpretation, Computer-Assisted Sensitivity and Specificity Breast Neoplasms Middle Aged Deep Learning Lymphatic Metastasis Aged Predictive Value of Tests Aged, 80 and over Ultrasonography, Mammary Young Adult Adult Cohort Studies Neural Networks, Computer Lymph Nodes Algorithms Retrospective Studies Female Humans
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EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research.

BMC medical informatics and decision making Nov 15, 2019
BACKGROUND: Electronic medical records (EMR) contain numerical data important for clinical outcomes research, such as vital signs and cardiac ejection fractions (EF), which tend to be embedded in narrative clinical notes. In current practice, this da...
Electronic Health Records Sensitivity and Specificity Stroke Volume Natural Language Processing Humans Algorithms Glycated Hemoglobin Creatinine Information Storage and Retrieval Vital Signs
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Assessing the accuracy of machine-assisted abstract screening with DistillerAI: a user study.

Systematic reviews Nov 15, 2019
BACKGROUND: Web applications that employ natural language processing technologies to support systematic reviewers during abstract screening have become more common. The goal of our project was to conduct a case study to explore a screening approach t...
Humans Software Reproducibility of Results Sensitivity and Specificity Natural Language Processing Systematic Reviews as Topic Internet Information Storage and Retrieval Abstracting and Indexing
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Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs.

Radiology Nov 12, 2019
Background Multicenter studies are required to validate the added benefit of using deep convolutional neural network (DCNN) software for detecting malignant pulmonary nodules on chest radiographs. Purpose To compare the performance of radiologists in...
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Reproducibility of Results Radiography, Thoracic Neural Networks, Computer Aged Retrospective Studies Middle Aged Young Adult Female Adult Lung Lung Neoplasms Sensitivity and Specificity Male
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Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 11, 2019
OBJECTIVE: Develop a high-performing algorithm to detect mesial temporal lobe (mTL) epileptiform discharges on intracranial electrode recordings.
Algorithms Female Adult Sensitivity and Specificity Electrodes, Implanted Humans Artifacts Temporal Lobe Male Reference Standards Foramen Ovale Datasets as Topic Deep Learning Epilepsy, Temporal Lobe ROC Curve Electrocorticography Area Under Curve
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Exploring Large-scale Public Medical Image Datasets.

Academic radiology Nov 6, 2019
RATIONALE AND OBJECTIVES: Medical artificial intelligence systems are dependent on well characterized large-scale datasets. Recently released public datasets have been of great interest to the field, but pose specific challenges due to the disconnect...
Humans Artificial Intelligence Sensitivity and Specificity Radiology Radiologists Documentation
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Automatic classification of lung nodule candidates based on a novel 3D convolution network and knowledge transferred from a 2D network.

Medical physics Nov 6, 2019
OBJECTIVE: In the automatic lung nodule detection system, the authenticity of a large number of nodule candidates needs to be judged, which is a classification task. However, the variable shapes and sizes of the lung nodules have posed a great challe...
Sensitivity and Specificity Image Processing, Computer-Assisted Lung Neoplasms Knowledge Bases Automation Neural Networks, Computer Tomography, X-Ray Computed
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