AIMC Topic: United States

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Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs.

BMJ health & care informatics Jun 1, 2021
Using administrative data on all Veterans who enter Department of Veterans Affairs (VA) medical centres throughout the USA, this paper uses artificial intelligence (AI) to predict mortality rates for patients with COVID-19 between March and August 20...
Data Display COVID-19 Risk Factors United States Models, Statistical United States Department of Veterans Affairs Veterans Humans Artificial Intelligence
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Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction.

JAMA cardiology Jun 1, 2021
IMPORTANCE: Accurate prediction of adverse outcomes after acute myocardial infarction (AMI) can guide the triage of care services and shared decision-making, and novel methods hold promise for using existing data to generate additional insights.
Female Aged Male United States Humans Risk Assessment Machine Learning Cohort Studies Registries Hospital Mortality Myocardial Infarction
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Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data.

Studies in health technology and informatics May 27, 2021
In recent years, microbiota has become an increasingly relevant factor for the understanding and potential treatment of diseases. In this work, based on the data reported by the largest study of microbioma in the world, a classification model has bee...
Metagenomics United Kingdom Machine Learning Algorithms United States
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Stop the emerging AI cold war.

Nature May 1, 2021
Competitive Behavior Cooperative Behavior Warfare Goals Sustainable Development Russia Nuclear Warfare Nuclear Weapons Global Warming Security Measures Military Science Humans Artificial Intelligence China United States
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Identifying HIV-related digital social influencers using an iterative deep learning approach.

AIDS (London, England) May 1, 2021
OBJECTIVES: Community popular opinion leaders have played a critical role in HIV prevention interventions. However, it is often difficult to identify these 'HIV influencers' who are qualified and willing to promote HIV campaigns, especially online, b...
Humans Social Media Deep Learning HIV Infections United States
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How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices.

BMJ health & care informatics Apr 1, 2021
OBJECTIVE: To examine how and to what extent medical devices using machine learning (ML) support clinician decision making.
Equipment and Supplies Decision Making, Computer-Assisted Machine Learning United States United States Food and Drug Administration Humans
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How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals.

Nature medicine Apr 1, 2021
United States United States Food and Drug Administration Equipment and Supplies Databases as Topic Device Approval Humans Artificial Intelligence Algorithms
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Identification of Suicide Attempt Risk Factors in a National US Survey Using Machine Learning.

JAMA psychiatry Apr 1, 2021
IMPORTANCE: Because more than one-third of people making nonfatal suicide attempts do not receive mental health treatment, it is essential to extend suicide attempt risk factors beyond high-risk clinical populations to the general adult population.
United States Longitudinal Studies Humans Adult Male Middle Aged Suicide, Attempted Adolescent Health Surveys Aged Aged, 80 and over Machine Learning Young Adult Female Risk Factors
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STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: We aim to develop a hybrid model for earlier and more accurate predictions for the number of infected cases in pandemics by (1) using patients' claims data from different counties and states that capture local disease status and medical re...
United States Pandemics Humans Models, Statistical Neural Networks, Computer COVID-19 Epidemiologic Methods Deep Learning
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Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
The development and implementation of clinical decision support (CDS) that trains itself and adapts its algorithms based on new data-here referred to as Adaptive CDS-present unique challenges and considerations. Although Adaptive CDS represents an ex...
United States Health Policy Humans Medical Informatics Organizational Policy Algorithms Societies, Medical Artificial Intelligence Delivery of Health Care Machine Learning Decision Support Systems, Clinical
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