AIMC Topic: Racial Groups

Clear Filters Showing 21 to 30 of 46 articles

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 Feb 7, 2024
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...
Female Risk Factors Aged Adult Humans Machine Learning COVID-19 HIV Infections United States Ethnicity Racial Groups Male Middle Aged Comorbidity Severity of Illness Index
View on PubMed DOI

Efficient adversarial debiasing with concept activation vector - Medical image case-studies.

Journal of biomedical informatics Dec 1, 2023
BACKGROUND: A major hurdle for the real time deployment of the AI models is ensuring trustworthiness of these models for the unseen population. More often than not, these complex models are black boxes in which promising results are generated. Howeve...
Clinical Decision-Making Mammography Diagnostic Imaging Humans Bias Artificial Intelligence Healthcare Disparities Minority Groups Racial Groups
View on PubMed DOI

Implications of predicting race variables from medical images.

Science (New York, N.Y.) Jul 13, 2023
AI-predicted race variables pose risks and opportunities for studying health disparities.
Humans Healthcare Disparities Artificial Intelligence Racial Groups Diagnostic Imaging
View on PubMed DOI

The application of machine learning to predict genetic relatedness using human mtDNA hypervariable region I sequences.

PloS one Feb 18, 2022
Human identification of unknown samples following disaster and mass casualty events is essential, especially to bring closure to family and friends of the deceased. Unfortunately, victim identification is often challenging for forensic investigators ...
Polymorphism, Genetic Racial Groups Pedigree Forensic Genetics Humans Machine Learning DNA, Mitochondrial
View on PubMed DOI

Autosomal deletion/insertion polymorphisms for global stratification analyses and ancestry origin inferences of different continental populations by machine learning methods.

Electrophoresis May 19, 2021
A lot of population data of 30 deletion/insertion polymorphisms (DIPs) of the Investigator DIPplex kit in different continental populations have been reported. Here, we assessed genetic distributions of these 30 DIPs in different continental populati...
Gene Frequency Racial Groups Black People Genetics, Population Genotype Bayes Theorem Asian People Humans Machine Learning Polymorphism, Single Nucleotide
View on PubMed DOI

A deep learning method for HLA imputation and trans-ethnic MHC fine-mapping of type 1 diabetes.

Nature communications Mar 12, 2021
Conventional human leukocyte antigen (HLA) imputation methods drop their performance for infrequent alleles, which is one of the factors that reduce the reliability of trans-ethnic major histocompatibility complex (MHC) fine-mapping due to inter-ethn...
Racial Groups Linkage Disequilibrium Major Histocompatibility Complex Histocompatibility Antigens Class II HLA Antigens Humans Alleles Genetic Predisposition to Disease Deep Learning Histocompatibility Antigens Class I Genome-Wide Association Study Genotype Ethnicity Diabetes Mellitus, Type 1
View on PubMed DOI

Can artificial intelligence help create racial equality in the USA?

The Lancet. Digital health Feb 8, 2021
United States Humans Health Equity Artificial Intelligence Healthcare Disparities Racial Groups Social Justice Ethnicity
View on PubMed DOI

A Revised Model of Anatomically Modern Human Expansions Out of Africa through a Machine Learning Approximate Bayesian Computation Approach.

Genes Dec 16, 2020
There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. It is still an open ques...
Europe Bayes Theorem Genetic Variation Genome, Human Racial Groups Asia Biological Evolution Computer Simulation Animals Africa Models, Theoretical Humans Neanderthals Machine Learning History, Ancient Human Migration Hominidae
View on PubMed DOI

Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.

Radiology Nov 24, 2020
Background Although CT-based body composition (BC) metrics may inform disease risk and outcomes, obtaining these metrics has been too resource intensive for large-scale use. Thus, population-wide distributions of BC remain uncertain. Purpose To demon...
Sex Distribution Male Middle Aged Deep Learning Cohort Studies Humans Female Image Processing, Computer-Assisted Tomography, X-Ray Computed Reproducibility of Results Racial Groups Body Composition Cross-Sectional Studies Outpatients Reference Values Radiography, Abdominal Age Distribution
View on PubMed DOI

The study of the differences between low-functioning autistic children and typically developing children in the processing of the own-race and other-race faces by the machine learning approach.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Sep 28, 2020
OBJECTIVE: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder which affects the developmental trajectory in several behavioral domains, including impairments of social communication and stereotyped behavior. Unlike typicall...
Child Female Facial Recognition Racial Groups Humans Reproducibility of Results Recognition, Psychology Photic Stimulation Machine Learning Male Autism Spectrum Disorder Child, Preschool
View on PubMed DOI
Popular Topics
Recent Journals