AIMC Topic: White

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Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free models.

Artificial intelligence in medicine Jun 1, 2025
A recent analysis of common stroke risk prediction models showed that performance differs between Black and White subgroups, and that applying standard machine learning methods does not reduce these disparities. There have been calls in the clinical ...
Humans Neural Networks, Computer Risk Assessment Stroke Black or African American White Aged Male Middle Aged Machine Learning Female Risk Factors
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Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials.

JCO clinical cancer informatics May 1, 2025
PURPOSE: Artificial intelligence (AI) tools could improve clinical decision making or exacerbate inequities because of bias. African American (AA) men reportedly have a worse prognosis for prostate cancer (PCa) and are underrepresented in the develop...
Prognosis Aged Male Humans Artificial Intelligence Algorithms Middle Aged Prostatic Neoplasms Black or African American Clinical Trials, Phase III as Topic White
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Concomitant Procedures, Black Race, Male Sex, and General Anesthesia Show Fair Predictive Value for Prolonged Rotator Cuff Repair Operative Time: Analysis of the National Quality Improvement Program Database Using Machine Learning.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association May 1, 2025
PURPOSE: To develop machine learning models using the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database to predict prolonged operative time (POT) for rotator cuff repair (RCR), as well as use the trained machine l...
Machine Learning Databases, Factual Retrospective Studies Adult Male Female Aged Humans Quality Improvement Rotator Cuff Injuries Arthroscopy Rotator Cuff Black or African American White Predictive Value of Tests Anesthesia, General Sex Factors Middle Aged United States Operative Time
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Using C4.5 Algorithm to Gain Insights on Stakeholder Engagement and Use of Artificial Intelligence on Social Media in Dementia Caregiving Disparity Research.

Studies in health technology and informatics Apr 8, 2025
We applied machine learning techniques to build models that predict perceived risks and benefits of using artificial intelligence (AI) algorithms to recruit African American informal caregivers for clinical trials and general health disparity researc...
Male Middle Aged Dementia Artificial Intelligence Female Algorithms Aged Adult Humans Black or African American Caregivers White Stakeholder Participation United States Social Media Alzheimer Disease
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Easy ensemble classifier-group and intersectional fairness and threshold (EEC-GIFT): a fairness-aware machine learning framework for lung cancer screening eligibility using real-world data.

JNCI cancer spectrum Mar 3, 2025
BACKGROUND: We use real-world data to develop a lung cancer screening (LCS) eligibility mechanism that is both accurate and free from racial bias.
Middle Aged Lung Neoplasms Logistic Models Female Aged Male Eligibility Determination White Mass Screening Early Detection of Cancer Black or African American Humans Machine Learning
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Black-White Differences in Chronic Stress Exposures to Predict Preterm Birth: Interpretable, Race/Ethnicity-Specific Machine Learning Models.

Studies in health technology and informatics Jul 24, 2024
We developed Multivariate Adaptive Regression Splines (MARS) machine learning models of chronic stressors using the Pregnancy Risk Assessment Monitoring System data (2012-2017) to predict preterm birth (PTB) more accurately and identify chronic stres...
Humans Risk Assessment Stress, Psychological United States Black or African American White Premature Birth Risk Factors Adult Machine Learning Pregnancy Female
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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...
Asian White Reproducibility of Results Healthcare Disparities Black or African American Humans Machine Learning
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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.
Middle Aged United States Health Services Accessibility Female Adult Male White Wounds, Penetrating Healthcare Disparities Patient Discharge Black or African American Humans Machine Learning
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