AIMC Topic: Malaria

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Technologies for the point-of-care diagnosis of malaria: a scoping review.

Infectious diseases of poverty Jun 23, 2025
BACKGROUND: Malaria continues to pose a significant health challenge, particularly in low-resource settings (LRS), where access to reliable and timely diagnostics is often limited. In this context, point-of-care (POC) in vitro diagnostics (IVDs) play...
Point-of-Care Systems Point-of-Care Testing Malaria Humans Sensitivity and Specificity
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Application of ConvNeXt with transfer learning and data augmentation for malaria parasite detection in resource-limited settings using microscopic images.

PloS one Jun 4, 2025
Malaria continues to be a severe health problem across the globe, especially within resource-limited areas which lack both skilled diagnostic personnel and diagnostic equipment. This study investigates the use of deep learning diagnosis for malaria t...
Plasmodium falciparum Malaria Microscopy Resource-Limited Settings Humans Deep Learning Image Processing, Computer-Assisted
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Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa.

BMC public health May 29, 2025
BACKGROUND: The global malaria burden is characterized by economic, geographical, and climatic disparities, especially in sub-Saharan Africa (SSA). Moreover, meteorological factors have become increasingly important to understand the malaria burden i...
Weather Humans Africa South of the Sahara Machine Learning Climate Change Geographic Information Systems Bayes Theorem Spatio-Temporal Analysis Malaria Incidence Cost of Illness
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Computer Viewing Model for Classification of Erythrocytes Infected with spp. Applied to Malaria Diagnosis Using Optical Microscope.

Medicina (Kaunas, Lithuania) May 21, 2025
Malaria is a disease that can result in a variety of complications. Diagnosis is carried out by an optical microscope and depends on operator experience. The use of artificial intelligence to identify morphological patterns in erythrocytes would imp...
Humans Neural Networks, Computer Machine Learning Algorithms Microscopy Malaria Erythrocytes Plasmodium
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Forecasting malaria cases using climate variability in Sierra Leone.

Malaria journal May 20, 2025
BACKGROUND: Malaria continues to pose a public health challenge in Sierra Leone, where timely and accurate forecasting can guide more effective interventions. Although seasonal models such as Seasonal Autoregressive Integrated Moving Average (SARIMA)...
Incidence Models, Statistical Malaria Neural Networks, Computer Forecasting Seasons Climate Sierra Leone Humans
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Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models.

BMC medical informatics and decision making Apr 11, 2025
BACKGROUND: Malaria, an infectious disease caused by protozoan parasites belonging to the Plasmodium genus, remains a significant public health challenge, with African regions bearing the heaviest burden. Machine learning techniques have shown great ...
Child Malaria Adult Male Middle Aged Adolescent Nigeria Child, Preschool Female Aged Young Adult Humans Machine Learning
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Deep learning method for malaria parasite evaluation from microscopic blood smear.

Artificial intelligence in medicine Mar 15, 2025
OBJECTIVE: Malaria remains a leading cause of global morbidity and mortality, responsible for approximately 5,97,000 deaths according to World Malaria Report 2024. The study aims to systematically review current methodologies for automated analysis o...
Humans Deep Learning Malaria Microscopy Plasmodium
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Discrimination of inherent characteristics of susceptible and resistant strains of Anopheles gambiae by explainable artificial intelligence analysis of flight trajectories.

Scientific reports Feb 25, 2025
Understanding mosquito behaviours is vital for the development of insecticide-treated nets (ITNs), which have been successfully deployed in sub-Saharan Africa to reduce disease transmission, particularly malaria. However, rising insecticide resistanc...
Mosquito Vectors Humans Insecticide Resistance Artificial Intelligence Flight, Animal Malaria Anopheles Machine Learning Insecticides Insecticide-Treated Bednets Animals
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Improving Malaria diagnosis through interpretable customized CNNs architectures.

Scientific reports Feb 22, 2025
Malaria, which is spread via female Anopheles mosquitoes and is brought on by the Plasmodium parasite, persists as a serious illness, especially in areas with a high mosquito density. Traditional detection techniques, like examining blood samples wit...
Malaria Plasmodium Anopheles Animals Neural Networks, Computer ROC Curve Algorithms Humans Female
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A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario.

Computers in biology and medicine Jan 26, 2025
BACKGROUND: Malaria is a critical and potentially fatal disease caused by the Plasmodium parasite and is responsible for more than 600,000 deaths globally. Early and accurate detection of malaria parasites is crucial for effective treatment, yet conv...
Plasmodium Deep Learning Image Processing, Computer-Assisted Humans Malaria Diagnosis, Computer-Assisted
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