AIMC Topic: Developing Countries

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The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies.

Globalization and health May 21, 2024
The advancement of artificial intelligence (AI), algorithm optimization and high-throughput experiments has enabled scientists to accelerate the discovery of new chemicals and materials with unprecedented efficiency, resilience and precision. Over th...
Developing Countries Humans Artificial Intelligence Biomedical Research
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Research and application of artificial intelligence in dentistry from lower-middle income countries - a scoping review.

BMC oral health Feb 12, 2024
Artificial intelligence (AI) has been integrated into dentistry for improvement of current dental practice. While many studies have explored the utilization of AI in various fields, the potential of AI in dentistry, particularly in low-middle income ...
Artificial Intelligence Developing Countries Dentistry Humans
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The impact of austerity on children: Uncovering effect heterogeneity by political, economic, and family factors in low- and middle-income countries.

Social science research Dec 30, 2023
Which children are most vulnerable when their government imposes austerity? Research tends to focus on either the political-economic level or the family level. Using a sample of nearly two million children in 67 countries, this study synthesizes theo...
Poverty Financial Management Child Humans Socioeconomic Factors Educational Status Developing Countries
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The Impact of the COVID-19 Pandemic on Stock Market Performance in G20 Countries: Evidence from Long Short-Term Memory with a Recurrent Neural Network Approach.

Big data Dec 20, 2023
In light of developing and industrialized nations, the G20 economies account for a whopping two-thirds of the world's population and are the largest economies globally. Public emergencies have occasionally arisen due to the rapid spread of COVID-19 g...
Neural Networks, Computer Pandemics COVID-19 Humans Developing Countries Investments Recurrent Neural Networks SARS-CoV-2 China Saudi Arabia
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Risk stratification using Artificial Intelligence: Could it be useful to reduce the burden of chronic kidney disease in low- and middle-income Countries?

Frontiers in public health Sep 29, 2022
Humans Artificial Intelligence Renal Insufficiency, Chronic Developing Countries Machine Learning Risk Assessment
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Artificial Intelligence inspired methods for the allocation of common goods and services.

PloS one Sep 29, 2021
The debate over the optimal way of allocating societal surplus (i.e. products and services) has been raging, in one form or another, practically forever; following the collapse of the Soviet Union in 1991, the market has taken the lead vs the public ...
Models, Economic History, 20th Century Public Sector Social Justice Developing Countries Humans Artificial Intelligence Delivery of Health Care Communism USSR
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Multivariate random forest prediction of poverty and malnutrition prevalence.

PloS one Sep 8, 2021
Advances in remote sensing and machine learning enable increasingly accurate, inexpensive, and timely estimation of poverty and malnutrition indicators to guide development and humanitarian agencies' programming. However, state of the art models ofte...
Multivariate Analysis Social Problems Poverty Malnutrition Machine Learning Humans Prevalence Developing Countries
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Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.

BMC pregnancy and childbirth Sep 7, 2021
BACKGROUND: Babies born early and/or small for gestational age in Low and Middle-income countries (LMICs) contribute substantially to global neonatal and infant mortality. Tracking this metric is critical at a population level for informed policy, ad...
ROC Curve Metabolomics Developing Countries Ultrasonography, Prenatal Cohort Studies Asia Africa South of the Sahara Neonatal Screening Gestational Age Prospective Studies Pregnancy Female Infant, Newborn Premature Birth Male Humans Machine Learning Algorithms
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The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis.

PloS one Mar 8, 2021
In recent years, the growth of cryptocurrency has undergone an enormous increase in cryptocurrency markets all around the world. Sadly, only insignificant heed has been paid to the unveiling of determinants of cryptocurrency adoption globally, partic...
Neural Networks, Computer Trust Deep Learning Latent Class Analysis Malaysia Intention Models, Statistical Least-Squares Analysis Internet of Things Humans Marketing Developing Countries
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Machine learning in a time of COVID-19 - Can machine learning support Community Health Workers (CHWs) in low and middle income countries (LMICs) in the new normal?

Journal of global health Jan 16, 2021
Community Health Services Community Health Workers Humans Delivery of Health Care Machine Learning SARS-CoV-2 COVID-19 Developing Countries
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