AIMC Topic: United States

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The first use of artificial intelligence (AI) in the ER: triage not diagnosis.

Emergency radiology Jul 8, 2020
Predictions related to the impact of AI on radiology as a profession run the gamut from AI putting radiologists out of business to having no effect at all. The use of AI appears to show significant promise in ER triage in the present. We briefly disc...
Radiology United States Food and Drug Administration Humans Artificial Intelligence United States Triage Emergency Service, Hospital Diagnostic Imaging
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2020 ACR Presidential Address: Quality, Ownership, and Our Role as Physicians.

Journal of the American College of Radiology : JACR Jul 6, 2020
A story from long ago reminds us of the importance of quality in our practices, of taking ownership of our patients, and of our role as physicians. The coronavirus disease 2019 (COVID-19) pandemic has disrupted our practices. Before the pandemic, man...
Humans Narration Societies, Medical Radiology Physician's Role Radiologists Pneumonia, Viral Artificial Intelligence Coronavirus Infections Pandemics Quality Improvement COVID-19 United States
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Machine learning for pattern detection in cochlear implant FDA adverse event reports.

Cochlear implants international Jul 5, 2020
Medical device performance and safety databases can be analyzed for patterns and novel opportunities for improving patient safety and/or device design. The objective of this analysis was to use supervised machine learning to explore patterns in rep...
Algorithms Databases, Factual Female Adult Male Humans Machine Learning United States Food and Drug Administration Child Cochlear Implantation Logistic Models Equipment Failure Analysis United States Bayes Theorem Cochlear Implants Public Reporting of Healthcare Data
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The Role of Artificial Intelligence in Surgery.

Advances in surgery Jun 30, 2020
Algorithms Electronic Health Records Risk Assessment Image Processing, Computer-Assisted United States Humans Natural Language Processing Neural Networks, Computer Surgical Procedures, Operative Artificial Intelligence Physician's Role Machine Learning
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Machine learning prediction of combat basic training injury from 3D body shape images.

PloS one Jun 30, 2020
INTRODUCTION: Athletes and military personnel are both at risk of disabling injuries due to extreme physical activity. A method to predict which individuals might be more susceptible to injury would be valuable, especially in the military where basic...
ROC Curve Young Adult Physical Fitness Imaging, Three-Dimensional Humans United States Military Personnel Male Machine Learning Models, Statistical Anthropometry Risk Assessment Female Physical Endurance Adolescent Risk Factors Occupational Injuries
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Medical Student Perspectives on the Impact of Artificial Intelligence on the Practice of Medicine.

Current problems in diagnostic radiology Jun 27, 2020
INTRODUCTION: Concerns about radiologists being replaced by artificial intelligence (AI) from the lay media could have a negative impact on medical students' perceptions of radiology as a viable specialty. The purpose of this study was to evaluate Un...
Radiologists Artificial Intelligence Students, Medical Humans United States Radiography Radiology
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Artificial Neural Network Modeling of Novel Coronavirus (COVID-19) Incidence Rates across the Continental United States.

International journal of environmental research and public health Jun 12, 2020
Prediction of the COVID-19 incidence rate is a matter of global importance, particularly in the United States. As of 4 June 2020, more than 1.8 million confirmed cases and over 108 thousand deaths have been reported in this country. Few studies have ...
Public Health Geographic Information Systems Incidence Logistic Models United States Models, Statistical Coronavirus Infections Spatial Analysis Betacoronavirus Pandemics Humans COVID-19 Pneumonia, Viral Neural Networks, Computer Algorithms Machine Learning SARS-CoV-2 Risk Factors
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Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach.

Journal of neuroengineering and rehabilitation Jun 10, 2020
BACKGROUND: In clinical practice, therapists often rely on clinical outcome measures to quantify a patient's impairment and function. Predicting a patient's discharge outcome using baseline clinical information may help clinicians design more targete...
Middle Aged United States Treatment Outcome Inpatients Stroke Outcome Assessment, Health Care Aged Stroke Rehabilitation Humans Aged, 80 and over Machine Learning Young Adult Female Adult Male
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Risk of a second wave of Covid-19 infections: using artificial intelligence to investigate stringency of physical distancing policies in North America.

International orthopaedics Jun 5, 2020
PURPOSE: Accurately forecasting the occurrence of future covid-19-related cases across relaxed (Sweden) and stringent (USA and Canada) policy contexts has a renewed sense of urgency. Moreover, there is a need for a multidimensional county-level appro...
Coronavirus Infections Telemedicine Physical Examination Physical Distancing Betacoronavirus Risk Factors Pneumonia, Viral Canada Humans United States Artificial Intelligence Bayes Theorem Pandemics COVID-19 SARS-CoV-2 Sweden
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Development and Validation of a Deep Learning Model for Non-Small Cell Lung Cancer Survival.

JAMA network open Jun 1, 2020
IMPORTANCE: There is a lack of studies exploring the performance of a deep learning survival neural network in non-small cell lung cancer (NSCLC).
Survival Rate Male Middle Aged Deep Learning China Aged Aged, 80 and over Young Adult Adult Models, Statistical Neoplasm Staging SEER Program Kaplan-Meier Estimate Cohort Studies Lung Neoplasms United States Carcinoma, Non-Small-Cell Lung Humans Prognosis Female
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