AIMC Topic: Ethnicity

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Using ChatGPT for Kidney Transplantation: Perceived Information Quality by Race and Education Levels.

Clinical transplantation Jul 1, 2024
BACKGROUND: Kidney transplantation is a complex process requiring extensive preparation and ongoing monitoring. Artificial intelligence (AI)-powered chatbots hold potential for providing accessible health information, but our understanding of their r...
Follow-Up Studies Humans Artificial Intelligence Social Media Kidney Transplantation Educational Status Prognosis Patient Education as Topic Adult Female Ethnicity Male Racial Groups Middle Aged Surveys and Questionnaires
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Dental Age Estimation in Northern Chinese Han Children and Adolescents Using Demirjian's Method Combined with Machine Learning Algorithms.

Fa yi xue za zhi Apr 25, 2024
OBJECTIVES: To investigate the application value of combining the Demirjian's method with machine learning algorithms for dental age estimation in northern Chinese Han children and adolescents.
Machine Learning Algorithms Female Young Adult Male Humans Support Vector Machine East Asian People Decision Trees Radiography, Panoramic Ethnicity China Adolescent Child, Preschool Child Mandible Age Determination by Teeth Tooth
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Age Estimation by Machine Learning and CT-Multiplanar Reformation of Cranial Sutures in Northern Chinese Han Adults.

Fa yi xue za zhi Apr 25, 2024
OBJECTIVES: To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation (MPR), and to explore the applicability of cranial suture closure rule in age estimation of northern ...
Skull Age Determination by Skeleton Forensic Anthropology Adult Cranial Sutures Image Processing, Computer-Assisted Male East Asian People Middle Aged Humans Bayes Theorem China Machine Learning Ethnicity Retrospective Studies Imaging, Three-Dimensional Linear Models Tomography, X-Ray Computed Female Aged Aged, 80 and over
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Coarse Race and Ethnicity Labels Mask Granular Underdiagnosis Disparities in Deep Learning Models for Chest Radiograph Diagnosis.

Radiology Nov 1, 2023
See also the editorial by Nikolic in this issue.
Radiography Ethnicity Thorax Humans Deep Learning
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Demographic Reporting in Publicly Available Chest Radiograph Data Sets: Opportunities for Mitigating Sex and Racial Disparities in Deep Learning Models.

Journal of the American College of Radiology : JACR Jan 1, 2022
OBJECTIVE: Data sets with demographic imbalances can introduce bias in deep learning models and potentially amplify existing health disparities. We evaluated the reporting of demographics and potential biases in publicly available chest radiograph (C...
Bias Ethnicity Female Male Humans Deep Learning Radiography
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Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography.

Journal of the American College of Radiology : JACR Jan 1, 2022
PURPOSE: The aim of this study was to assess racial/ethnic and socioeconomic disparities in the difference between atherosclerotic vascular disease prevalence measured by a multitask convolutional neural network (CNN) deep learning model using fronta...
SARS-CoV-2 Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Radiography Ethnicity Social Deprivation Humans COVID-19 Retrospective Studies
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Clinical insights into hematologic malignancies and comparative analysis of molecular signatures of acute myeloid leukemia in different ethnicities using an artificial intelligence offering.

Medicine Dec 23, 2021
Next generation sequencing generates copious amounts of genomics data, causing manual interpretation to be laborious and non-scalable while remaining subjective (even for highly trained specialists). We evaluated the performance of the artificial int...
Humans Artificial Intelligence Male Middle Aged Adolescent Protein-Tyrosine Kinases Aged, 80 and over Mutation Prognosis Young Adult Pharmaceutical Preparations Republic of Korea Adult Ethnicity Female Hematologic Neoplasms Off-Label Use Leukemia, Myeloid, Acute Aged fms-Like Tyrosine Kinase 3
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Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients.

Open heart Oct 1, 2021
OBJECTIVES: Identifying high-risk patients is crucial for effective cardiovascular disease (CVD) prevention. It is not known whether electronic health record (EHR)-based machine-learning (ML) models can improve CVD risk stratification compared with a...
Middle Aged Risk Assessment Incidence Humans Time Factors United States Aged Machine Learning Follow-Up Studies Retrospective Studies Aged, 80 and over Ethnicity Electronic Health Records Survival Rate Female Male Risk Factors Cardiovascular Diseases
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Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.

Journal of molecular neuroscience : MN Jul 1, 2021
Models, Biological Humans Mobile Applications Mental Status and Dementia Tests Artificial Intelligence Cognition Late Onset Disorders Patient Selection Prospective Studies Early Diagnosis Observational Studies as Topic Clinical Trial Protocols as Topic Asian People Biomarkers Mutation Hong Kong Alzheimer Disease Language Medical History Taking Ethnicity Case-Control Studies Memory Wearable Electronic Devices Behavior
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Using machine learning to estimate the effect of racial segregation on COVID-19 mortality in the United States.

Proceedings of the National Academy of Sciences of the United States of America Feb 16, 2021
This study examines the role that racial residential segregation has played in shaping the spread of COVID-19 in the United States as of September 30, 2020. The analysis focuses on the effects of racial residential segregation on mortality and infect...
Risk Factors Humans Machine Learning United States Mortality COVID-19 Socioeconomic Factors SARS-CoV-2 Regression Analysis Social Segregation Ethnicity
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