AIMC Topic: False Positive Reactions

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Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU.

Journal of clinical monitoring and computing Apr 6, 2019
Studies reveal that the false alarm rate (FAR) demonstrated by intensive care unit (ICU) vital signs monitors ranges from 0.72 to 0.99. We applied machine learning (ML) to ICU multi-sensor information to imitate a medical specialist in diagnosing pat...
Humans Machine Learning Decision Support Techniques Critical Care Expert Systems Pattern Recognition, Automated False Positive Reactions Retrospective Studies Clinical Alarms Intensive Care Units Monitoring, Physiologic Knowledge Bases
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Automated Segmentation of Colorectal Tumor in 3D MRI Using 3D Multiscale Densely Connected Convolutional Neural Network.

Journal of healthcare engineering Jan 31, 2019
The main goal of this work is to automatically segment colorectal tumors in 3D T2-weighted (T2w) MRI with reasonable accuracy. For such a purpose, a novel deep learning-based algorithm suited for volumetric colorectal tumor segmentation is proposed. ...
False Positive Reactions Intestine, Large Imaging, Three-Dimensional Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Neural Networks, Computer Algorithms Colorectal Neoplasms Deep Learning Humans
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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).
Solitary Pulmonary Nodule Radiology Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Humans Algorithms Reproducibility of Results Sensitivity and Specificity Lung Databases, Factual Tomography, X-Ray Computed
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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...
Artifacts False Positive Reactions Middle Aged Machine Learning Intracranial Pressure Humans Female Brain Injuries Male Signal Processing, Computer-Assisted
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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...
Imaging, Three-Dimensional Lung Neoplasms Support Vector Machine Solitary Pulmonary Nodule False Positive Reactions Humans Algorithms Tomography, X-Ray Computed Lung
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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 Tomography, X-Ray Computed Humans Cluster Analysis False Positive Reactions Reproducibility of Results Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Lung Machine Learning Data Collection ROC Curve Algorithms
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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...
Trisomy 13 Syndrome Trisomy 18 Syndrome Support Vector Machine Humans Sequence Analysis, DNA False Negative Reactions High-Throughput Nucleotide Sequencing Female Machine Learning False Positive Reactions Diagnosis, Differential Down Syndrome Young Adult Retrospective Studies Genetic Testing Prenatal Diagnosis Adult Pregnancy Diagnosis, Computer-Assisted
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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...
Sensitivity and Specificity Male Adolescent Neural Networks, Computer Child Algorithms Area Under Curve Tomography, X-Ray Computed False Positive Reactions Humans Brain Injuries, Traumatic Female Predictive Value of Tests
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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...
Artificial Intelligence Survival Analysis Middle Aged False Positive Reactions Humans Consciousness Hospitals Machine Learning Glasgow Coma Scale Neural Networks, Computer ROC Curve Data Analysis Algorithms Triage
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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 ...
Middle Aged Severity of Illness Index ROC Curve Imaging, Three-Dimensional Osteoarthritis, Knee Cartilage, Articular Anterior Cruciate Ligament Injuries Magnetic Resonance Imaging False Positive Reactions Aged Adult Sensitivity and Specificity Male Neural Networks, Computer Retrospective Studies Humans Female Reproducibility of Results Anterior Cruciate Ligament Anterior Cruciate Ligament Reconstruction Meniscus
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