AIMC Topic: Developing Countries
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Automated Fetal Head Detection and Circumference Estimation from Free-Hand Ultrasound Sweeps Using Deep Learning in Resource-Limited Countries.
Ultrasound in medicine & biology
Dec 17, 2018
Ultrasound imaging remains out of reach for most pregnant women in developing countries because it requires a trained sonographer to acquire and interpret the images. We address this problem by presenting a system that can automatically estimate the ...
Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.
International journal of health geographics
May 9, 2018
BACKGROUND: Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative s...
The Sustainable Development Assessment of Reservoir Resettlement Based on a BP Neural Network.
International journal of environmental research and public health
Jan 18, 2018
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
Nov 15, 2017
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
Oct 7, 2016
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
Nov 17, 2015
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...
Integrating Artificial Intelligence for Patient Safety in Pakistan: Opportunities, Challenges, and Lessons from Low- and Middle-Income Countries.
Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
Jun 1, 2025
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Disc Diffusion Reader: an AI-powered potential solution to combat antibiotic resistance in developing countries.
Journal of infection in developing countries
May 31, 2025
INTRODUCTION: Antimicrobial resistance (AMR) is a global health challenge, and antimicrobial susceptibility testing (AST) is vital for guiding treatment. Although widely used, the Kirby-Bauer method depends on skilled interpretation, which can be tim...
Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings.
JAMA
Aug 27, 2024
A comprehensive exploration of artificial intelligence in orthopaedics within lower-middle-income countries: a narrative review.
JPMA. The Journal of the Pakistan Medical Association
Apr 1, 2024
Integrating Artificial Intelligence (AI) in orthopaedic within lower-middle-income countries (LMICs) promises landmark improvement in patient care. Delving into specific use cases-fracture detection, spine imaging, bone tumour classification, and joi...
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