AIMC Topic: Racial Groups
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Racial and socioeconomic disparities in long term survival after surgery and radiation for spinal cord hemangioblastoma.
Scientific reports
Aug 21, 2025
Spinal cord hemangioblastomas are rare, benign, intradural tumors that, despite their nonmalignant histopathology, can lead to substantial neurological morbidity. While disparities in outcomes based on race and socioeconomic status have been well-doc...
Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health.
Journal of medical Internet research
Jul 31, 2025
The role and use of race within health-related artificial intelligence (AI) and machine learning (ML) models have sparked increasing attention and controversy. Despite the complexity and breadth of related issues, a robust and holistic framework to g...
Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach.
JMIR infodemiology
Jul 28, 2025
BACKGROUND: User demographics are often hidden in social media data due to privacy concerns. However, demographic information on substance use (SU) can provide valuable insights, allowing public health policy makers to focus on specific cohorts and d...
Bias in vital signs? Machine learning models can learn patients' race or ethnicity from the values of vital signs alone.
BMJ health & care informatics
Jul 10, 2025
OBJECTIVES: To investigate whether machine learning (ML) algorithms can learn racial or ethnic information from the vital signs alone.
AI-generated faces influence gender stereotypes and racial homogenization.
Scientific reports
Apr 25, 2025
Text-to-image generative AI models such as Stable Diffusion are used daily by millions worldwide. However, the extent to which these models exhibit racial and gender stereotypes is not yet fully understood. Here, we document significant biases in Sta...
Why robot embodiment matters: questions of disability, race and intersectionality in the design of social robots.
Medical humanities
Jan 2, 2025
A growing minority of those with disabilities are people of color (POC), with, for example, autism diagnosis rates now higher for children of color than for white children in the USA. This trend underscores the need for assistive technologies, especi...
Contextualized race and ethnicity annotations for clinical text from MIMIC-III.
Scientific data
Dec 5, 2024
Observational health research often relies on accurate and complete race and ethnicity (RE) patient information, such as characterizing cohorts, assessing quality/performance metrics of hospitals and health systems, and identifying health disparities...
Addressing hidden risks: Systematic review of artificial intelligence biases across racial and ethnic groups in cardiovascular diseases.
European journal of radiology
Nov 30, 2024
BACKGROUND: Artificial intelligence (AI)-based models are increasingly being integrated into cardiovascular medicine. Despite promising potential, racial and ethnic biases remain a key concern regarding the development and implementation of AI models...
XGBoost as a reliable machine learning tool for predicting ancestry using autosomal STR profiles - Proof of method.
Forensic science international. Genetics
Nov 29, 2024
The aim of this study was to test the validity of a predictive model of ancestry affiliation based on Short Tandem Repeat (STR) profiles. Frequencies of 29 genetic markers from the Promega website for four distinct population groups (African American...
Representation of intensivists' race/ethnicity, sex, and age by artificial intelligence: a cross-sectional study of two text-to-image models.
Critical care (London, England)
Nov 11, 2024
BACKGROUND: Integrating artificial intelligence (AI) into intensive care practices can enhance patient care by providing real-time predictions and aiding clinical decisions. However, biases in AI models can undermine diversity, equity, and inclusion ...
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