AIMC Topic: Ethnicity
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A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches.
International journal of legal medicine
Apr 14, 2023
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
Mar 17, 2023
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...
Generative adversarial networks for modelling clinical biomarker profiles with race/ethnicity.
British journal of clinical pharmacology
Dec 20, 2022
AIMS: Modelling biomarker profiles for under-represented race/ethnicity groups are challenging because the underlying studies frequently do not have sufficient participants from these groups. The aim was to investigate generative adversarial networks...
Predicting Patient Demographics From Chest Radiographs With Deep Learning.
Journal of the American College of Radiology : JACR
Aug 11, 2022
BACKGROUND: Deep learning models are increasingly informing medical decision making, for instance, in the detection of acute intracranial hemorrhage and pulmonary embolism. However, many models are trained on medical image databases that poorly repre...
Ethnicity-Specific Features of COVID-19 Among Arabs, Africans, South Asians, East Asians, and Caucasians in the United Arab Emirates.
Frontiers in cellular and infection microbiology
Mar 16, 2022
BACKGROUND: Dubai (United Arab Emirates; UAE) has a multi-national population which makes it exceptionally interesting study sample because of its unique demographic factors.
Application of deep learning algorithm on whole genome sequencing data uncovers structural variants associated with multiple mental disorders in African American patients.
Molecular psychiatry
Jan 8, 2022
Mental disorders present a global health concern, while the diagnosis of mental disorders can be challenging. The diagnosis is even harder for patients who have more than one type of mental disorder, especially for young toddlers who are not able to ...
Disease ontologies for knowledge graphs.
BMC bioinformatics
Jul 21, 2021
BACKGROUND: Data integration to build a biomedical knowledge graph is a challenging task. There are multiple disease ontologies used in data sources and publications, each having its hierarchy. A common task is to map between ontologies, find disease...
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...
The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations.
Journal of medical Internet research
Feb 10, 2021
There is clear evidence to suggest that diabetes does not affect all populations equally. Among adults living with diabetes, those from ethnoracial minority communities-foreign-born, immigrant, refugee, and culturally marginalized-are at increased ri...
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