AIMC Topic: Predictive Value of Tests

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Monitoring Glaucomatous Functional Loss Using an Artificial Intelligence-Enabled Dashboard.

Ophthalmology Mar 10, 2020
PURPOSE: To develop an artificial intelligence (AI) dashboard for monitoring glaucomatous functional loss.
Glaucoma Artificial Intelligence Retrospective Studies Female Aged Adult Humans Visual Acuity Vision Disorders Predictive Value of Tests Visual Fields False Negative Reactions Optic Nerve Diseases Sensitivity and Specificity Cross-Sectional Studies Male Middle Aged Longitudinal Studies Monitoring, Physiologic
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Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control.

Communications biology Mar 9, 2020
Efficient action control is indispensable for goal-directed behaviour. Different theories have stressed the importance of either attention or response selection sub-processes for action control. Yet, it is unclear to what extent these processes can b...
Support Vector Machine Predictive Value of Tests Young Adult Electroencephalography Signal Processing, Computer-Assisted Adult Humans Reaction Time Male Brain Attention Goals Deep Learning Female Adolescent Brain Waves Cognition Neuropsychological Tests Motor Activity Conflict, Psychological
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Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients.

Clinical cancer research : an official journal of the American Association for Cancer Research Mar 5, 2020
PURPOSE: Between 30%-40% of patients with prostate cancer experience disease recurrence following radical prostatectomy. Existing clinical models for recurrence risk prediction do not account for population-based variation in the tumor phenotype, des...
Middle Aged Risk Assessment Disease Progression ROC Curve Image Processing, Computer-Assisted Nomograms Humans Machine Learning Prognosis Survival Rate Biomarkers, Tumor Male Black or African American Prostatectomy Predictive Value of Tests Prostatic Neoplasms Prostate-Specific Antigen Neoplasm Recurrence, Local Stromal Cells
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External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.

Thorax Mar 5, 2020
BACKGROUND: Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk prediction. Here we compare the performance of an AI...
Early Detection of Cancer Neoplasm Invasiveness Predictive Value of Tests Area Under Curve Neoplasm Staging Cell Transformation, Neoplastic Incidence Cohort Studies ROC Curve Lung Neoplasms Multiple Pulmonary Nodules Neural Networks, Computer Artificial Intelligence Algorithms Databases, Factual Prognosis Retrospective Studies Female Aged Adult Male Middle Aged Risk Assessment Humans
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BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets.

Communications biology Mar 5, 2020
Understanding how cognitive functions emerge from brain structure depends on quantifying how discrete regions are integrated within the broader cortical landscape. Recent work established that macroscale brain organization and function can be describ...
Workflow Image Interpretation, Computer-Assisted Nerve Net Diffusion Tensor Imaging Artificial Intelligence Neocortex Reproducibility of Results Magnetic Resonance Imaging Brain Mapping Predictive Value of Tests Humans
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The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR) values.

The international journal of cardiovascular imaging Mar 4, 2020
To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative reconstruction, ADMIRE) on machine learning-based coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) measurements compared...
Vascular Calcification Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Reproducibility of Results Aged Humans Male Coronary Angiography Machine Learning Middle Aged Radiographic Image Interpretation, Computer-Assisted Severity of Illness Index Retrospective Studies Coronary Artery Disease Predictive Value of Tests Female Observer Variation Coronary Vessels Plaque, Atherosclerotic
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Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations.

Gastroenterology Feb 29, 2020
BACKGROUND & AIMS: Narrow-band imaging (NBI) can be used to determine whether colorectal polyps are adenomatous or hyperplastic. We investigated whether an artificial intelligence (AI) system can increase the accuracy of characterizations of polyps b...
Deep Learning Observer Variation Humans Clinical Competence Reproducibility of Results Hyperplasia Predictive Value of Tests Visual Perception Colorectal Neoplasms Workflow Seoul Colonoscopy Adenomatous Polyps Colonic Polyps Diagnosis, Computer-Assisted Narrow Band Imaging Image Interpretation, Computer-Assisted
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Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks.

Radiology Feb 25, 2020
Background Radiofrequency ultrasound data from the liver contain rich information about liver microstructure and composition. Deep learning might exploit such information to assess nonalcoholic fatty liver disease (NAFLD). Purpose To develop and eval...
Non-alcoholic Fatty Liver Disease Random Allocation Radio Waves Middle Aged Ultrasonography Image Processing, Computer-Assisted Magnetic Resonance Imaging Predictive Value of Tests Humans Neural Networks, Computer Prospective Studies Female Sensitivity and Specificity Male
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Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization: The LINK-HF Multicenter Study.

Circulation. Heart failure Feb 25, 2020
BACKGROUND: Implantable cardiac sensors have shown promise in reducing rehospitalization for heart failure (HF), but the efficacy of noninvasive approaches has not been determined. The objective of this study was to determine the accuracy of noninvas...
Humans Machine Learning Prognosis Cloud Computing Telemetry Middle Aged United States Risk Assessment Predictive Value of Tests Diagnosis, Computer-Assisted Equipment Design Female Wearable Electronic Devices Heart Failure Reproducibility of Results Time Factors Patient Readmission Risk Factors Smartphone Aged Aged, 80 and over Male
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Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry.

Journal of the American Heart Association Feb 22, 2020
Background Rapid coronary plaque progression (RPP) is associated with incident cardiovascular events. To date, no method exists for the identification of individuals at risk of RPP at a single point in time. This study integrated coronary computed to...
Aged Male Middle Aged Disease Progression Diagnosis, Computer-Assisted Time Factors Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Registries Coronary Artery Disease Multidetector Computed Tomography Humans Machine Learning Plaque, Atherosclerotic Prospective Studies Computed Tomography Angiography Female
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