AIMC Topic: United States

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Discussion.

Journal of the American College of Surgeons Apr 1, 2019
United States Robotics Robotic Surgical Procedures Rhytidoplasty Endoscopy Thyroidectomy
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Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA.

Journal of the American Heart Association Mar 5, 2019
Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learning technique called Bayesian Additive Regression Trees ( BART ). Methods and Results This analysis included 4714 participants from MESA (Multi-Ethnic S...
Decision Trees Predictive Value of Tests Bayes Theorem Reproducibility of Results Ventricular Remodeling United States Aged Electrocardiography Aged, 80 and over Magnetic Resonance Imaging Humans Machine Learning Hypertrophy, Left Ventricular Female Male Ventricular Function, Left Middle Aged Diagnosis, Computer-Assisted
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Predicting Future Cardiovascular Events in Patients With Peripheral Artery Disease Using Electronic Health Record Data.

Circulation. Cardiovascular quality and outcomes Mar 1, 2019
BACKGROUND: Patients with peripheral artery disease (PAD) are at risk of major adverse cardiac and cerebrovascular events. There are no readily available risk scores that can accurately identify which patients are most likely to sustain an event, mak...
Electronic Health Records Female Risk Factors Aged Humans Machine Learning Prognosis Risk Assessment Time Factors United States Peripheral Arterial Disease Aged, 80 and over Male Middle Aged Heart Diseases Tertiary Care Centers Data Mining Cerebrovascular Disorders
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Regulation of predictive analytics in medicine.

Science (New York, N.Y.) Feb 22, 2019
Evidence-Based Medicine Decision Support Techniques Humans United States Artificial Intelligence Benchmarking Algorithms United States Food and Drug Administration
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How machine learning could keep dangerous DNA out of terrorists' hands.

Nature Feb 1, 2019
Anthrax Variola virus Security Measures Genetic Engineering Bacillus anthracis Machine Learning Software United States Sequence Analysis, DNA DNA Bioterrorism
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Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 1, 2019
BACKGROUND: This paper aims to move the debate forward regarding the potential for artificial intelligence (AI) and autonomous robotic surgery with a particular focus on ethics, regulation and legal aspects (such as civil law, international law, tort...
Algorithms United States Europe Ethics, Medical Robotic Surgical Procedures Computer Security Medical Errors Humans Artificial Intelligence
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A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents.

The Gerontologist Jan 9, 2019
BACKGROUND AND OBJECTIVES: Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items (72) to be a barrier to using the assessment.
Logistic Models United States Patient-Centered Care Quality of Health Care Nursing Homes Patient Preference Long-Term Care Humans Machine Learning Qualitative Research Interviews as Topic
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Doctor AI.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons Jan 1, 2019
Transplantation Humans Economics Artificial Intelligence Machine Learning Biostatistics Algorithms Centers for Medicare and Medicaid Services, U.S. United States Health Policy
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Unhealthy Behaviors, Prevention Measures, and Neighborhood Cardiovascular Health: A Machine Learning Approach.

Journal of public health management and practice : JPHMP Jan 1, 2019
This study identifies and ranks predictors of cardiovascular health at the neighborhood level in the United States. We merged the 500 Cities Data and the 2011-2015 American Community Survey to create a new data set that includes sociodemographic char...
Health Behavior Humans Behavioral Risk Factor Surveillance System Machine Learning Preventive Medicine Cardiovascular Diseases Female United States Aged Residence Characteristics Adult Population Surveillance Male
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Machine learning helps to hunt down the cause of a paralysing illness.

Nature Dec 1, 2018
Poliomyelitis United States Humans Host-Pathogen Interactions Machine Learning Enterovirus D, Human Child Myelitis
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