AIMC Topic: United States

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Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients With Ischemic Cardiomyopathy.

Circulation. Arrhythmia and electrophysiology Mar 18, 2020
BACKGROUND: Transition zones between healthy myocardium and scar form a spatially complex substrate that may give rise to reentrant ventricular arrhythmias (VAs). We sought to assess the utility of a novel machine learning approach for quantifying 3-...
Male Ventricular Function, Left Stroke Volume Middle Aged Risk Assessment Retrospective Studies Female Risk Factors Aged Magnetic Resonance Imaging Action Potentials Predictive Value of Tests Registries Arrhythmias, Cardiac Diagnosis, Computer-Assisted Imaging, Three-Dimensional United States Contrast Media Humans Machine Learning Prognosis Gadolinium DTPA Death, Sudden, Cardiac Heart Rate Myocardial Ischemia Cardiomyopathies Fourier Analysis
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The AI Revolution and How to Prepare for It.

Translational vision science & technology Mar 18, 2020
Artificial Intelligence Machine Learning Data Management United States Ophthalmology Population Health Humans
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Soft Clustering for Enhancing the Diagnosis of Chronic Diseases over Machine Learning Algorithms.

Journal of healthcare engineering Mar 9, 2020
Chronic diseases represent a serious threat to public health across the world. It is estimated at about 60% of all deaths worldwide and approximately 43% of the global burden of chronic diseases. Thus, the analysis of the healthcare data has helped h...
Humans Machine Learning Algorithms Female United States Mass Screening Support Vector Machine Male Public Health Cluster Analysis Chronic Disease Bayes Theorem
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Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
In evolving clinical environments, the accuracy of prediction models deteriorates over time. Guidance on the design of model updating policies is limited, and there is limited exploration of the impact of different policies on future model performanc...
United States Models, Statistical Health Facilities United States Department of Veterans Affairs Humans Neural Networks, Computer Patient Admission Hospital Mortality Logistic Models
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A High Recall Classifier for Selecting Articles for MEDLINE Indexing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
MEDLINE is the National Library of Medicine's premier bibliographic database for biomedical literature. A highly valuable feature of the database is that each record is manually indexed with a controlled vocabulary called MeSH. Most MEDLINE journals ...
MEDLINE Neural Networks, Computer Machine Learning Medical Subject Headings National Library of Medicine (U.S.) United States Abstracting and Indexing
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Regional Variations in Documentation of Sexual Trauma Concepts in Electronic Medical Records in the United States Veterans Health Administration.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Experiences of sexual trauma are associated with adverse patient and health system outcomes, but are not systematically documented in electronic health records (EHR). To describe variations in how sexual trauma is documented in the Veterans Health ...
Military Personnel United States Department of Veterans Affairs Veterans Sex Offenses Female United States Mental Health Services Adult Natural Language Processing Male Documentation Humans Child Disclosure Primary Health Care Electronic Health Records
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Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Opioid addiction in the United States has come to national attention as opioid overdose (OD) related deaths have risen at alarming rates. Combating opioid epidemic becomes a high priority for not only governments but also healthcare providers. This d...
Machine Learning Databases, Factual Electronic Health Records United States Opioid-Related Disorders Models, Statistical Humans Drug Overdose Analgesics, Opioid New York
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Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.

JAMA network open Mar 2, 2020
IMPORTANCE: Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography screening accuracy by reducing missed cancers and false positives.
Female Sweden Aged Adult Sensitivity and Specificity Humans Artificial Intelligence Early Detection of Cancer Radiology Algorithms Breast Neoplasms Mammography Radiologists Middle Aged Image Interpretation, Computer-Assisted Deep Learning United States
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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...
Patient Readmission Aged Cloud Computing Aged, 80 and over Machine Learning Telemetry Male Prognosis United States Middle Aged Wearable Electronic Devices Female Predictive Value of Tests Time Factors Risk Assessment Reproducibility of Results Equipment Design Humans Smartphone Diagnosis, Computer-Assisted Risk Factors Heart Failure
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Artificial Intelligence in Emergency Medicine: Surmountable Barriers With Revolutionary Potential.

Annals of emergency medicine Feb 21, 2020
Emergency Medicine Artificial Intelligence Delivery of Health Care Emergency Service, Hospital Humans United States Deep Learning Patient-Centered Care Triage Neural Networks, Computer Canada United States Food and Drug Administration
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