AIMC Topic: Ethnicity

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The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset.

AIDS and behavior
We investigate risk factors for severe COVID-19 in persons living with HIV (PWH), including among racialized PWH, using the U.S. population-sampled National COVID Cohort Collaborative (N3C) data released from January 1, 2020 to October 10, 2022. We d...

Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians.

The British journal of ophthalmology
BACKGROUND/AIMS: Deep learning systems (DLSs) for diabetic retinopathy (DR) detection show promising results but can underperform in racial and ethnic minority groups, therefore external validation within these populations is critical for health equi...

Conversational assessment using artificial intelligence is as clinically useful as depression scales and preferred by users.

Journal of affective disorders
BACKGROUND: Depression is prevalent, chronic, and burdensome. Due to limited screening access, depression often remains undiagnosed. Artificial intelligence (AI) models based on spoken responses to interview questions may offer an effective, efficien...

Auditing Learned Associations in Deep Learning Approaches to Extract Race and Ethnicity from Clinical Text.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Complete and accurate race and ethnicity (RE) patient information is important for many areas of biomedical informatics research, such as defining and characterizing cohorts, performing quality assessments, and identifying health inequities. Patient-...

Using artificial intelligence to create diverse and inclusive medical case vignettes for education.

British journal of clinical pharmacology
AIMS: Medical case vignettes play a crucial role in medical education, yet they often fail to authentically represent diverse patients. Moreover, these vignettes tend to oversimplify the complex relationship between patient characteristics and medica...

Race, Sex, and Age Disparities in the Performance of ECG Deep Learning Models Predicting Heart Failure.

Circulation. Heart failure
BACKGROUND: Deep learning models may combat widening racial disparities in heart failure outcomes through early identification of individuals at high risk. However, demographic biases in the performance of these models have not been well-studied.

Sociodemographic Variables Reporting in Human Radiology Artificial Intelligence Research.

Journal of the American College of Radiology : JACR
PURPOSE: Artificial intelligence (AI) is rapidly reshaping how radiology is practiced. Its susceptibility to biases, however, is a primary concern as more AI algorithms become available for widespread use. So far, there has been limited evaluation of...

Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective.

Annual review of biomedical data science
Artificial intelligence (AI) and other data-driven technologies hold great promise to transform healthcare and confer the predictive power essential to precision medicine. However, the existing biomedical data, which are a vital resource and foundati...

A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches.

International journal of legal medicine
Dental radiographies have been used for many decades for estimating the chronological age, with a view to forensic identification, migration flow control, or assessment of dental development, among others. This study aims to analyse the current appli...

Health literacy in ChatGPT: exploring the potential of the use of artificial intelligence to produce academic text.

Ciencia & saude coletiva
The aim of this study was to identify and analyze the main constituent elements of text generated by ChatGPT in response to questions on an emerging topic in the academic literature in Portuguese - health literacy - and discuss how the evidence produ...