AIMC Topic: Black or African American

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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.
United States Health Services Accessibility Male Middle Aged Humans Black or African American Female White Adult Wounds, Penetrating Machine Learning Healthcare Disparities Patient Discharge
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Application of Topic Modeling on Artificial Intelligence Studies as a Foundation to Develop Ethical Guidelines in African American Dementia Caregiving.

Studies in health technology and informatics Jun 29, 2023
We applied natural language processing and topic modeling to publicly available abstracts and titles of 263 papers in the scientific literature mentioning AI and demographics (corpus 1 before Covid-19, corpus 2 after Covid-19) extracted from the MEDL...
Humans Black or African American Quality of Life Dementia Artificial Intelligence Delivery of Health Care
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The risk of racial bias while tracking influenza-related content on social media using machine learning.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Machine learning is used to understand and track influenza-related content on social media. Because these systems are used at scale, they have the potential to adversely impact the people they are built to help. In this study, we explore t...
Social Media Influenza, Human Machine Learning Support Vector Machine Black or African American Racism Influenza Vaccines Datasets as Topic Humans Neural Networks, Computer
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Tech firms need Black AI scholars and labour rights.

Nature Feb 1, 2021
Machine Learning Black or African American Humans Artificial Intelligence
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Machine Learning and Medical Appointment Scheduling: Creating and Perpetuating Inequalities in Access to Health Care.

American journal of public health Apr 1, 2020
No-Show Patients Black or African American Humans Machine Learning Health Services Accessibility Socioeconomic Factors Appointments and Schedules
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Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2019
OBJECTIVE: We aimed to address deficiencies in structured electronic health record (EHR) data for race and ethnicity by identifying black and Hispanic patients from unstructured clinical notes and assessing differences between patients with or withou...
Cross-Sectional Studies Male Electronic Health Records Vulnerable Populations Black or African American Humans Hispanic or Latino Natural Language Processing Female Racial Groups Algorithms Ethnicity
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Carpal Bone Segmentation Using Fully Convolutional Neural Network.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: Bone Age Assessment (BAA) refers to a clinical procedure that aims to identify a discrepancy between biological and chronological age of an individual by assessing the bone age growth. Currently, there are two main methods of executing BA...
Asian People Hispanic or Latino Male Child, Preschool Black or African American Sex Factors Deep Learning Infant Female Humans Child Age Determination by Skeleton White People Adolescent Infant, Newborn Neural Networks, Computer Carpal Bones
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