AIMC Topic: Developing Countries

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The Sustainable Development Assessment of Reservoir Resettlement Based on a BP Neural Network.

International journal of environmental research and public health
Resettlement affects not only the resettlers' production activities and life but also, directly or indirectly, the normal operation of power stations, the sustainable development of the resettlers, and regional social stability. Therefore, a scientif...

A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries.

Expert review of vaccines
INTRODUCTION: In recent years, demand to improve child immunization coverage globally, and the development of the latest vaccines and technology has made the vaccine market very complex. The rise in such complexities often gives birth to numerous iss...

Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis.

Environmental science and pollution research international
This paper presents the development of a general regression neural network (GRNN) model for the prediction of annual municipal solid waste (MSW) generation at the national level for 44 countries of different size, population and economic development ...

Prediction of municipal solid waste generation using nonlinear autoregressive network.

Environmental monitoring and assessment
Most of the developing countries have solid waste management problems. Solid waste strategic planning requires accurate prediction of the quality and quantity of the generated waste. In developing countries, such as Malaysia, the solid waste generati...

Rethinking expertise in artificial intelligence ethics for global health.

International health
Debates on AI ethics in global health often privilege professionalized authority over those most exposed to harm. We argue for the need to consider redistributing ethical authority to affected communities, particularly in low- and middle-income count...

Diabetic Retinopathy Screening Approaches in Developing Countries: A Systematic Review and Meta-Analysis.

Turkish journal of ophthalmology
OBJECTIVES: Diabetic retinopathy (DR) is one of the primary causes of vision loss among people living with diabetes and is expected to rise globally in the coming years. Effective screening strategies are essential, particularly in developing countri...

The sky's the limit: improving satellite imagery data literacy to address non-communicable diseases.

International health
Low-and middle-income countries experience 77% of the world's premature deaths caused by non-communicable diseases, and their underlying health determinant data are often scarce and inaccurate. Improving satellite imagery data literacy worldwide is a...

Large multimodal models: boon or burden for low- and middle-income countries.

International health
Large multimodal models, a type of generative artificial intelligence (AI), could contribute to wider government efforts to achieve universal health coverage if ethical challenges are proactively addressed during the design and deployment of these AI...

Impact of health policy reforms on telemedicine and AI integration for early cancer detection among low-income populations in South Asia: A comparative policy analysis.

African journal of reproductive health
Early cancer detection remains a major challenge in low- and middle-income countries (LMICs), where late diagnoses and unequal healthcare access are widespread. While digital innovations such as telemedicine and artificial intelligence (AI) offer sig...