AIMC Topic: Asia

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Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study.

The Lancet. Digital health Sep 1, 2021
BACKGROUND: Delays in the diagnosis of genetic syndromes are common, particularly in low and middle-income countries with limited access to genetic screening services. We, therefore, aimed to develop and evaluate a machine learning-based screening te...
Point-of-Care Systems Risk Assessment Infant Africa Female Reproducibility of Results Sensitivity and Specificity Male Facial Expression Asia Photography Genetic Diseases, Inborn Hispanic or Latino White People Internationality Face Humans Machine Learning Phenotype Retrospective Studies
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Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov.

International journal of environmental research and public health May 11, 2021
Although advances in machine-learning healthcare applications promise great potential for innovative medical care, few data are available on the translational status of these new technologies. We aimed to provide a comprehensive characterization of t...
Europe Registries Asia North America Humans Machine Learning
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"AI's gonna have an impact on everything in society, so it has to have an impact on public health": a fundamental qualitative descriptive study of the implications of artificial intelligence for public health.

BMC public health Jan 6, 2021
BACKGROUND: Our objective was to determine the impacts of artificial intelligence (AI) on public health practice.
Asia Humans North America Artificial Intelligence Public Health Big Data
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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...
Models, Theoretical Europe Bayes Theorem Genetic Variation Machine Learning Computer Simulation Animals Africa History, Ancient Human Migration Hominidae Neanderthals Genome, Human Racial Groups Asia Biological Evolution Humans
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Artificial intelligence for the detection of esophageal and esophagogastric junctional adenocarcinoma.

Journal of gastroenterology and hepatology Jun 27, 2020
BACKGROUND AND AIM: Conventional endoscopy for the early detection of esophageal and esophagogastric junctional adenocarcinoma (E/J cancer) is limited because early lesions are asymptomatic, and the associated changes in the mucosa are subtle. There ...
Humans Deep Learning Artificial Intelligence Image Processing, Computer-Assisted Adenocarcinoma Early Detection of Cancer Esophageal Neoplasms Stomach Neoplasms Asia Sensitivity and Specificity Esophagogastric Junction Female Male Aged Middle Aged Aged, 80 and over Adult
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Machine Learning Applications for optimized mental health outcomes in Asia: Translating Hype to Hope.

Asian journal of psychiatry Feb 24, 2020
Asia Biomedical Research Bibliometrics Data Mining Outcome Assessment, Health Care Humans Machine Learning Mental Disorders Psychiatry
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Development of a system based on artificial intelligence to identify visual problems in children: study protocol of the TrackAI project.

BMJ open Feb 17, 2020
INTRODUCTION: Around 70% to 80% of the 19 million visually disabled children in the world are due to a preventable or curable disease, if detected early enough. Vision screening in childhood is an evidence-based and cost-effective way to detect visua...
Humans Artificial Intelligence Vision Disorders Cost-Benefit Analysis Clinical Trials as Topic Asia Amblyopia Vision Screening Smartphone United States Europe Multicenter Studies as Topic Infant Adolescent Child, Preschool Child
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Machine learning analysis plans for randomised controlled trials: detecting treatment effect heterogeneity with strict control of type I error.

Trials Feb 10, 2020
BACKGROUND: Retrospective exploratory analyses of randomised controlled trials (RCTs) seeking to identify treatment effect heterogeneity (TEH) are prone to bias and false positives. Yet the desire to learn all we can from exhaustive data measurements...
Plasmodium falciparum Antimalarials Malaria, Falciparum Asia Artesunate Retrospective Studies Quinine Adult Treatment Outcome Humans Randomized Controlled Trials as Topic Machine Learning Algorithms
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Predicting likelihood of psychological disorders in PlayerUnknown's Battlegrounds (PUBG) players from Asian countries using supervised machine learning.

Addictive behaviors Oct 4, 2019
Multiplayer Online Battle Arena (MOBA) has become one of the most popular genre of online video games played by gamers worldwide. Previous studies have exhibited that excessive engagement in games can lead to Internet Gaming Disorder (IGD). Internet ...
Self Concept Supervised Machine Learning Asia Internet Addiction Disorder Adult Male Surveys and Questionnaires Adolescent Humans Female Reproducibility of Results Young Adult
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Shift in Potential Malaria Transmission Areas in India, Using the Fuzzy-Based Climate Suitability Malaria Transmission (FCSMT) Model under Changing Climatic Conditions.

International journal of environmental research and public health Sep 18, 2019
The future implications of climate change on malaria transmission at the global level have already been reported, however such evidences are scarce and limited in India. Here our study aims to assess, identify and map the potential effects of climate...
Climate Change Asia Humidity Humans Geographic Information Systems Malaria, Vivax Temperature Fuzzy Logic Animals Models, Statistical Malaria, Falciparum
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