AIMC Topic: False Positive Reactions

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Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence.

Biomedical engineering online Jan 22, 2019
BACKGROUND: A deep learning computer artificial intelligence system is helpful for early identification of ground glass opacities (GGOs).
Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Lung Diagnosis, Computer-Assisted Humans Algorithms Databases, Factual Deep Learning Radiology Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms False Positive Reactions Solitary Pulmonary Nodule
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An active learning framework for enhancing identification of non-artifactual intracranial pressure waveforms.

Physiological measurement Jan 18, 2019
OBJECTIVE: Intracranial pressure (ICP) is an important and established clinical measurement that is used in the management of severe acute brain injury. ICP waveforms are usually triphasic and are susceptible to artifact because of transient catheter...
Intracranial Pressure Brain Injuries Signal Processing, Computer-Assisted Artifacts False Positive Reactions Humans Machine Learning Female Male Middle Aged
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Automatic lung nodule detection using multi-scale dot nodule-enhancement filter and weighted support vector machines in chest computed tomography.

PloS one Jan 10, 2019
A novel CAD scheme for automated lung nodule detection is proposed to assist radiologists with the detection of lung cancer on CT scans. The proposed scheme is composed of four major steps: (1) lung volume segmentation, (2) nodule candidate extractio...
Tomography, X-Ray Computed Lung Imaging, Three-Dimensional Humans Lung Neoplasms Algorithms Solitary Pulmonary Nodule Support Vector Machine False Positive Reactions
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Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.

Biomedical engineering online Jan 3, 2019
BACKGROUND: Lung segmentation constitutes a critical procedure for any clinical-decision supporting system aimed to improve the early diagnosis and treatment of lung diseases. Abnormal lungs mainly include lung parenchyma with commonalities on CT ima...
Image Processing, Computer-Assisted Cluster Analysis Radiographic Image Interpretation, Computer-Assisted Data Collection False Positive Reactions Algorithms Tomography, X-Ray Computed Reproducibility of Results Lung ROC Curve Humans Neural Networks, Computer Machine Learning
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Improving the calling of non-invasive prenatal testing on 13-/18-/21-trisomy by support vector machine discrimination.

PloS one Dec 5, 2018
With the advance of next-generation sequencing (NGS) technologies, non-invasive prenatal testing (NIPT) has been developed and employed in fetal aneuploidy screening on 13-/18-/21-trisomies through detecting cell-free fetal DNA (cffDNA) in maternal b...
Sequence Analysis, DNA Diagnosis, Differential Genetic Testing Female High-Throughput Nucleotide Sequencing Humans Young Adult Down Syndrome Adult Machine Learning Diagnosis, Computer-Assisted Retrospective Studies False Negative Reactions Support Vector Machine Pregnancy False Positive Reactions Prenatal Diagnosis Trisomy 13 Syndrome Trisomy 18 Syndrome
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Using an artificial neural network to predict traumatic brain injury.

Journal of neurosurgery. Pediatrics Nov 2, 2018
In BriefPediatric traumatic brain injury (TBI) is common, but not all injuries require hospitalization. A computational tool for ruling-in patients who will have clinically relevant TBI (CRTBI) would be valuable, providing an evidence-based mechanism...
Male Adolescent Child Brain Injuries, Traumatic Predictive Value of Tests Algorithms Tomography, X-Ray Computed Female Sensitivity and Specificity Area Under Curve False Positive Reactions Humans Neural Networks, Computer
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A data-driven artificial intelligence model for remote triage in the prehospital environment.

PloS one Oct 23, 2018
In a mass casualty incident, the factors that determine the survival rate of injured patients are diverse, but one of the key factors is the time for triage. Additionally, the main factor that determines the time of triage is the number of medical pe...
Data Analysis Algorithms Middle Aged Hospitals Humans ROC Curve Triage Neural Networks, Computer Survival Analysis Artificial Intelligence Consciousness Machine Learning False Positive Reactions Glasgow Coma Scale
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3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects.

Journal of magnetic resonance imaging : JMRI Oct 10, 2018
BACKGROUND: Semiquantitative assessment of MRI plays a central role in musculoskeletal research; however, in the clinical setting MRI reports often tend to be subjective and qualitative. Grading schemes utilized in research are not used because they ...
Magnetic Resonance Imaging False Positive Reactions Osteoarthritis, Knee Cartilage, Articular Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Anterior Cruciate Ligament Reconstruction Meniscus Male Middle Aged Severity of Illness Index Humans ROC Curve Neural Networks, Computer Reproducibility of Results Imaging, Three-Dimensional Retrospective Studies Aged Female Adult Sensitivity and Specificity
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A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq data.

Computer methods and programs in biomedicine Oct 5, 2018
BACKGROUND AND OBJECTIVE: Cancer has become a complex health problem due to its high mortality. Over the past few decades, with the rapid development of the high-throughput sequencing technology and the application of various machine learning methods...
RNA Pattern Recognition, Automated False Positive Reactions Deep Learning Lung Neoplasms Humans Sequence Analysis, RNA Software Gene Expression Regulation, Neoplastic Algorithms Supervised Machine Learning Female Stomach Neoplasms Reproducibility of Results Breast Neoplasms Male Diagnosis, Computer-Assisted
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Diagnosis of urinary tract infection based on artificial intelligence methods.

Computer methods and programs in biomedicine Oct 2, 2018
BACKGROUND AND OBJECTIVE: Urinary tract infection (UTI) is a common disease affecting the vast majority of people. UTI involves a simple infection caused by urinary tract inflammation as well as a complicated infection that may be caused by an inflam...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Female Aged Decision Support Systems, Clinical Support Vector Machine Decision Trees Urinary Tract Infections False Positive Reactions Middle Aged Cystitis Diagnosis, Computer-Assisted Young Adult Adolescent Adult Child Sensitivity and Specificity ROC Curve Male
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