AIMC Topic: Healthcare Disparities
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Ensuring Fairness in Machine Learning to Advance Health Equity.
Annals of internal medicine
Dec 4, 2018
Machine learning is used increasingly in clinical care to improve diagnosis, treatment selection, and health system efficiency. Because machine-learning models learn from historically collected data, populations that have experienced human and struct...
Disparities in the Treatment and Outcome of Stage I Non-Small-Cell Lung Cancer in the 21st Century.
Clinical lung cancer
Nov 20, 2018
BACKGROUND: African American (AA) individuals are less likely to receive treatment and more likely to die from cancer compared with Caucasian (C) individuals. Recent advancements in surgery and radiation have improved outcomes in early stage non-smal...
Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris.
Journal of diabetes science and technology
Sep 5, 2018
In the future artificial intelligence (AI) will have the potential to improve outcomes diabetes care. With the creation of new sensors for physiological monitoring sensors and the introduction of smart insulin pens, novel data relationships based on ...
Ethnicity
Data Collection
Racial Groups
Decision Making
Healthcare Disparities
Access to Information
Public Health
Big Data
Decision Support Systems, Clinical
Computational Biology
Diabetes Mellitus, Type 1
Precision Medicine
Language
Reproducibility of Results
Diabetes Mellitus, Type 2
Humans
Genotype
Artificial Intelligence
Phenotype
Update: healthcare reform - it's getting personal.
Personalized medicine
Jun 22, 2017
Using the Knowledge Base of Health Services Research to Redefine Health Care Systems.
Journal of general internal medicine
Apr 4, 2015
This Perspective discusses 12 key facts derived from 50 years of health services research and argues that this knowledge base can stimulate innovative thinking about how to make health care systems safer, more efficient, more cost effective, and more...
Enhancing neuro-oncology care through equity-driven applications of artificial intelligence.
Neuro-oncology
Nov 4, 2024
The disease course and clinical outcome for brain tumor patients depend not only on the molecular and histological features of the tumor but also on the patient's demographics and social determinants of health. While current investigations in neuro-o...
Estimation of racial and language disparities in pediatric emergency department triage using statistical modeling and natural language processing.
Journal of the American Medical Informatics Association : JAMIA
Apr 3, 2024
OBJECTIVES: The study aims to assess racial and language disparities in pediatric emergency department (ED) triage using analytical techniques and provide insights into the extent and nature of the disparities in the ED setting.
Reducing Ophthalmic Health Disparities Through Transfer Learning: A Novel Application to Overcome Data Inequality.
Translational vision science & technology
Dec 1, 2023
PURPOSE: Race disparities in the healthcare system and the resulting inequality in clinical data among different races hinder the ability to generate equitable prediction results. This study aims to reduce healthcare disparities arising from data imb...
Development of a Machine Learning-Based Prescriptive Tool to Address Racial Disparities in Access to Care After Penetrating Trauma.
JAMA surgery
Oct 1, 2023
IMPORTANCE: The use of artificial intelligence (AI) in clinical medicine risks perpetuating existing bias in care, such as disparities in access to postinjury rehabilitation services.
Breast Cancer Screening and Outcomes Disparities Persist for Native American Women.
Journal of breast imaging
Feb 6, 2023
Over the past three decades, mortality rates from breast cancer have decreased for multiple racial groups but have remained constant for American Indian and Alaskan Native (AI/AN) women. Additionally, AI/AN women are less likely to receive timely bre...
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