AIMC Topic: Healthcare Disparities

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Enhancing neuro-oncology care through equity-driven applications of artificial intelligence.

Neuro-oncology
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
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
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...

Breast Cancer Screening and Outcomes Disparities Persist for Native American Women.

Journal of breast imaging
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...

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
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,...

Unexpected Inequality: Disparate-Impact From Artificial Intelligence in Healthcare Decisions.

Journal of law and health
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...

Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning.

Journal of the American Medical Informatics Association : JAMIA
Accumulating evidence demonstrates the impact of bias that reflects social inequality on the performance of machine learning (ML) models in health care. Given their intended placement within healthcare decision making more broadly, ML tools require a...