ArticlePeerJ2020
Convolutional neural networks to automate the screening of malaria in low-resource countries.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- The role of artificial intelligence (AI) in the elimination of malaria: a systematic literature review.Malaria journal · 2025Pooled it
- Deep learning applications in parasite microscopy: A scoping review.PLoS neglected tropical diseases · 2026Article
- Artificial intelligence at the frontlines: Emerging infectious and parasitic diseases in the digital era.New microbes and new infections · 2026Article
- A hybrid machine learning approach for automated malaria diagnosis from thin blood smear images.Parasites & vectors · 2026Article
- Applying Machine learning to analyze the utilization of insecticide-treated nets among rural under-five children in East Africa.Parasite epidemiology and control · 2026Review
- CT-Malaria Detection via Adaptive-Weighted Deep Learning Models.Biomedicines · 2026Article
- Scoping review of artificial intelligence via mobile technology and social media for health in Africa.Nature communications · 2025Article
- AI-driven convolutional neural networks for accurate identification of yellow fever vectors.Parasites & vectors · 2024Article
- Efficient deep learning-based approach for malaria detection using red blood cell smears.Scientific reports · 2024Article
- An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images.Parasites & vectors · 2024Article
- Evaluating Plasmodium falciparum automatic detection and parasitemia estimation: A comparative study on thin blood smear images.PloS one · 2024Article
- Embedded-deep-learning-based sample-to-answer device for on-site malaria diagnosis.Frontiers in bioengineering and biotechnology · 2024Article
- Application of Deep Learning in Clinical Settings for Detecting and Classifying Malaria Parasites in Thin Blood Smears.Open forum infectious diseases · 2023Article
- Insecticide-treated bed net use and associated factors among households having under-five children in East Africa: a multilevel binary logistic regression analysis.Malaria journal · 2023Article
- Article
- Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review.Frontiers in microbiology · 2022Review
- Label-free imaging and classification of live P. falciparum enables high performance parasitemia quantification without fixation or staining.PLoS computational biology · 2021Article
- Trials and tribulations: Developing an artificial intelligence for screening malaria parasite from peripheral blood smears.Medical journal, Armed Forces IndiaArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malaria is an infectious disease caused by
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.