AIMC Topic: Racial Groups

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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...
Female Reproducibility of Results Cross-Sectional Studies Male Middle Aged Humans Tomography, X-Ray Computed Racial Groups Outpatients Radiography, Abdominal Age Distribution Sex Distribution Deep Learning Cohort Studies Image Processing, Computer-Assisted Body Composition Reference Values
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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...
Photic Stimulation Facial Recognition Recognition, Psychology Humans Reproducibility of Results Machine Learning Male Autism Spectrum Disorder Child, Preschool Female Child Racial Groups
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On the use of machine learning algorithms in forensic anthropology.

Legal medicine (Tokyo, Japan) Aug 6, 2020
The classification performance of the statistical methods binary logistic regression (BLR), multinomial and penalized multinomial logistic regression (MLR, pMLR), linear discriminant analysis (LDA), and the machine learning algorithms naïve Bayes cla...
Humans Machine Learning Body Remains Pelvis Sex Determination by Skeleton Racial Groups Skull Forensic Anthropology Algorithms Female Male Support Vector Machine Discriminant Analysis
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Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis.

Circulation. Arrhythmia and electrophysiology Feb 16, 2020
BACKGROUND: Deep learning algorithms derived in homogeneous populations may be poorly generalizable and have the potential to reflect, perpetuate, and even exacerbate racial/ethnic disparities in health and health care. In this study, we aimed to (1)...
Humans Artificial Intelligence Retrospective Studies Female Male Heart Ventricles Ethnicity Racial Groups Ventricular Function, Left Middle Aged Deep Learning Electrocardiography Follow-Up Studies
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A Multi-Task Framework for Facial Attributes Classification through End-to-End Face Parsing and Deep Convolutional Neural Networks.

Sensors (Basel, Switzerland) Jan 7, 2020
Human face image analysis is an active research area within computer vision. In this paper we propose a framework for face image analysis, addressing three challenging problems of race, age, and gender recognition through face parsing. We manually la...
Image Processing, Computer-Assisted Age Factors Databases as Topic Face Racial Groups Humans Neural Networks, Computer Algorithms Female Male Deep Learning
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A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning.

Journal of medical systems Nov 3, 2018
Skeletal bone age assessment is a widely used standard procedure in both disease detection and growth prediction for children in endocrinology. Conventional manual assessment methods mainly rely on personal experience in observing X-ray images of lef...
Hand Sex Factors Racial Groups Age Determination by Skeleton Child Male Image Processing, Computer-Assisted Infant Support Vector Machine Humans Adolescent Age Factors Neural Networks, Computer Child, Preschool Wrist Algorithms Female Infant, Newborn
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Value of Neighborhood Socioeconomic Status in Predicting Risk of Outcomes in Studies That Use Electronic Health Record Data.

JAMA network open Sep 7, 2018
IMPORTANCE: Data from electronic health records (EHRs) are increasingly used for risk prediction. However, EHRs do not reliably collect sociodemographic and neighborhood information, which has been shown to be associated with health. The added contri...
Outcome Assessment, Health Care Adult Income Male Social Determinants of Health Racial Groups Humans Health Status Disparities Middle Aged Social Class Electronic Health Records North Carolina Cohort Studies Female Residence Characteristics Aged
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Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris.

Journal of diabetes science and technology Sep 5, 2018
In the future artificial intelligence (AI) will have the potential to improve outcomes diabetes care. With the creation of new sensors for physiological monitoring sensors and the introduction of smart insulin pens, novel data relationships based on ...
Humans Artificial Intelligence Phenotype Precision Medicine Healthcare Disparities Access to Information Ethnicity Diabetes Mellitus, Type 2 Data Collection Genotype Language Racial Groups Computational Biology Reproducibility of Results Diabetes Mellitus, Type 1 Public Health Decision Making Big Data Decision Support Systems, Clinical
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Assessment of the Feasibility of automated, real-time clinical decision support in the emergency department using electronic health record data.

BMC emergency medicine Jul 3, 2018
BACKGROUND: The use of big data and machine learning within clinical decision support systems (CDSSs) has the potential to transform medicine through better prognosis, diagnosis and automation of tasks. Real-time application of machine learning algor...
Decision Support Systems, Clinical Age Factors Emergency Service, Hospital Documentation Vital Signs Racial Groups Risk Factors Male Middle Aged Severity of Illness Index Time Factors Humans Machine Learning Electronic Health Records Female Reproducibility of Results
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Vitamin D Deficiency and Atopic Dermatitis: Consider Disease, Race, and Body Mass.

Skinmed Dec 1, 2017
Vitamin D deficiency causes rickets, but has been associated with various diseases, including atopic dermatitis (AD). This study analyzes serum vitamin D in pediatric medical center patients with AD and potential confounding factors. At Cardinal Glen...
Severity of Illness Index Adolescent Child, Preschool Child United States Infant, Newborn Black or African American Humans Young Adult Body Mass Index Racial Groups Male Retrospective Studies Vitamin D Dermatitis, Atopic Infant Female Vitamin D Deficiency Asian Prevalence Cystic Fibrosis Skin Pigmentation White People
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