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Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules.

American journal of respiratory and critical care medicine Jul 15, 2020
The management of indeterminate pulmonary nodules (IPNs) remains challenging, resulting in invasive procedures and delays in diagnosis and treatment. Strategies to decrease the rate of unnecessary invasive procedures and optimize surveillance regime...
Humans Lung Neoplasms United States Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Tomography, X-Ray Computed Deep Learning
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Using Machine Learning to Predict Primary Care and Advance Workforce Research.

Annals of family medicine Jul 1, 2020
PURPOSE: To develop and test a machine-learning-based model to predict primary care and other specialties using Medicare claims data.
Algorithms Cross-Sectional Studies ROC Curve Primary Health Care Humans Machine Learning Workforce United States Physicians, Primary Care Area Under Curve Insurance Claim Review Medicare
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Using Machine Learning to Estimate Unobserved COVID-19 Infections in North America.

The Journal of bone and joint surgery. American volume Jul 1, 2020
BACKGROUND: The detection of coronavirus disease 2019 (COVID-19) cases remains a huge challenge. As of April 22, 2020, the COVID-19 pandemic continues to take its toll, with >2.6 million confirmed infections and >183,000 deaths. Dire projections are ...
Machine Learning North America Pandemics Betacoronavirus Humans Forecasting Pneumonia, Viral COVID-19 United States Computer Simulation Bayes Theorem SARS-CoV-2 Coronavirus Infections Canada
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Coronavirus Disease (COVID-19): A Machine Learning Bibliometric Analysis.

In vivo (Athens, Greece) Jun 1, 2020
BACKGROUND/AIM: To evaluate the research trends in coronavirus disease (COVID-19).
Humans Machine Learning Coronavirus Infections Information Dissemination Pneumonia, Viral China Databases, Bibliographic Research Support as Topic United States National Institutes of Health (U.S.) Pandemics Bibliometrics Publishing COVID-19 Research
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Using word embeddings to improve the privacy of clinical notes.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2020
OBJECTIVE: In this work, we introduce a privacy technique for anonymizing clinical notes that guarantees all private health information is secured (including sensitive data, such as family history, that are not adequately covered by current technique...
Confidentiality Data Anonymization Health Insurance Portability and Accountability Act Health Records, Personal Electronic Health Records United States Natural Language Processing Humans Algorithms
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Machine-Learning Implementation in Clinical Anesthesia: Opportunities and Challenges.

Anesthesia and analgesia Jun 1, 2020
Confidentiality Data Collection United States Food and Drug Administration Medical Informatics Decision Making Europe Workflow Anesthesia Humans Machine Learning Electronic Health Records Point-of-Care Systems Clinical Competence Decision Support Systems, Clinical United States
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Computer vision's potential to improve health care.

Lancet (London, England) May 16, 2020
Video Recording Artificial Intelligence Vision, Ocular Delivery of Health Care Patient Harm Algorithms Humans Intensive Care Units Computers Surgeons Electronic Health Records United States Clinical Decision-Making Medicare
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The ideological divide in public perceptions of self-driving cars.

Public understanding of science (Bristol, England) May 1, 2020
Applications in artificial intelligence such as self-driving cars may profoundly transform our society, yet emerging technologies are frequently faced with suspicion or even hostility. Meanwhile, public opinions about scientific issues are increasing...
Public Opinion Humans Politics Artificial Intelligence Autonomous Vehicles United States
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Machine Learning on High-Dimensional Data to Predict Bleeding Post Percutaneous Coronary Intervention.

The Journal of invasive cardiology May 1, 2020
INTRODUCTION: The purpose of the current study is to determine the accuracy of machine learning in predicting bleeding outcomes post percutaneous coronary intervention (PCI) in comparison with the American College of Cardiology CathPCI bleeding risk ...
Humans Registries Risk Factors Machine Learning Percutaneous Coronary Intervention Aged Retrospective Studies Risk Assessment Male Female United States Middle Aged Treatment Outcome
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Artificial intelligence in sleep medicine: an American Academy of Sleep Medicine position statement.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Apr 15, 2020
Sleep medicine is well positioned to benefit from advances that use big data to create artificially intelligent computer programs. One obvious initial application in the sleep disorders center is the assisted (or enhanced) scoring of sleep and associ...
United States Sleep Polysomnography Sleep Wake Disorders Academies and Institutes Humans Artificial Intelligence
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