AIMC Topic: United States
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Using machine learning to estimate the effect of racial segregation on COVID-19 mortality in the United States.
Proceedings of the National Academy of Sciences of the United States of America
Feb 16, 2021
This study examines the role that racial residential segregation has played in shaping the spread of COVID-19 in the United States as of September 30, 2020. The analysis focuses on the effects of racial residential segregation on mortality and infect...
Using Machine Learning to Evaluate Attending Feedback on Resident Performance.
Anesthesia and analgesia
Feb 1, 2021
BACKGROUND: High-quality and high-utility feedback allows for the development of improvement plans for trainees. The current manual assessment of the quality of this feedback is time consuming and subjective. We propose the use of machine learning to...
Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19.
Journal of the American Medical Informatics Association : JAMIA
Jan 15, 2021
The COVID-19 pandemic is presenting a disproportionate impact on minorities in terms of infection rate, hospitalizations, and mortality. Many believe artificial intelligence (AI) is a solution to guide clinical decision-making for this novel disease,...
Drivers of Prolonged Hospitalization Following Spine Surgery: A Game-Theory-Based Approach to Explaining Machine Learning Models.
The Journal of bone and joint surgery. American volume
Jan 6, 2021
BACKGROUND: Understanding the interactions between variables that predict prolonged hospital length of stay (LOS) following spine surgery can help uncover drivers of this risk in patients. This study utilized a novel game-theory-based approach to dev...
Unexpected Inequality: Disparate-Impact From Artificial Intelligence in Healthcare Decisions.
Journal of law and health
Jan 1, 2021
Systemic discrimination in healthcare plagues marginalized groups. Physicians incorrectly view people of color as having high pain tolerance, leading to undertreatment. Women with disabilities are often undiagnosed because their symptoms are dismisse...
Ten computer codes that transformed science.
Nature
Jan 1, 2021
History, 20th Century
Databases, Nucleic Acid
Neural Networks, Computer
Fourier Analysis
Algorithms
Databases, Factual
Programming Languages
National Institutes of Health (U.S.)
Physics
Deep Learning
Datasets as Topic
Preprints as Topic
Time Factors
History, 21st Century
Computational Biology
National Library of Medicine (U.S.)
United States
Databases, Protein
Weather
Phenotypic clustering of heart failure with preserved ejection fraction reveals different rates of hospitalization.
Journal of cardiovascular medicine (Hagerstown, Md.)
Jan 1, 2021
AIMS: Approximately 50% of patients with heart failure have preserved (≥50%) ejection fraction (HFpEF). Improved understanding of the phenotypic heterogeneity of HFpEF might facilitate development of targeted therapies and interventions.
Data Mining
Administrative Claims, Healthcare
Middle Aged
Prevalence
Comorbidity
Time Factors
Cluster Analysis
Natural Language Processing
Heart Failure
United States
Age Factors
Aged, 80 and over
Male
Ventricular Function, Left
Stroke Volume
Retrospective Studies
Female
Hospitalization
Aged
Humans
Databases, Factual
Prognosis
Artificial Intelligence and Clinical Decision Making: The New Nature of Medical Uncertainty.
Academic medicine : journal of the Association of American Medical Colleges
Jan 1, 2021
Estimates in a 1989 study indicated that physicians in the United States were unable to reach a diagnosis that accounted for their patient's symptoms in up to 90% of outpatient patient encounters. Many proponents of artificial intelligence (AI) see t...
Addressing health disparities in the Food and Drug Administration's artificial intelligence and machine learning regulatory framework.
Journal of the American Medical Informatics Association : JAMIA
Dec 9, 2020
The exponential growth of health data from devices, health applications, and electronic health records coupled with the development of data analysis tools such as machine learning offer opportunities to leverage these data to mitigate health disparit...
AI technology for remote clinical assessment and monitoring.
Journal of wound care
Dec 2, 2020
OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered, portable and non-invasive medical device called Wound Viewer. The AI medical device uses dedicated sensors and AI algorithms to remotely collect obje...
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