ReviewFrontiers in microbiology2022
Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review.
Review in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.
- The role of artificial intelligence (AI) in the elimination of malaria: a systematic literature review.Malaria journal · 2025Pooled it
- Development and validation of the AI-predictive ParaScoutEmerging microbes & infections · 2026Article
- Deep learning applications in parasite microscopy: A scoping review.PLoS neglected tropical diseases · 2026Article
- Noninvasive malaria detection beyond blood sampling.Sensors & diagnostics · 2026Review
- Loop-Mediated Isothermal Amplification (LAMP) Assessment for Malaria Diagnosis in Equatorial Guinea.Pathogens (Basel, Switzerland) · 2026Article
- Deep Learning-Based Malaria Parasite Image Classification on Real Microscopy Data.Infectious disease reports · 2026Article
- Evaluating the Adversarial Robustness and Clinical Safety of Quantized Hierarchical Transformers for Edge-Based Malaria Microscopy.Sensors (Basel, Switzerland) · 2026Article
- Evaluation of malaria rapid diagnostic test kit performance in a high-transmission setting: a facility-based cross-sectional study in rural Ghana.Malaria journal · 2026Article
- Imaging malaria parasites across scales and time.Journal of microscopy · 2026Review
- Role of Artificial Intelligence in Infectious Diseases and Antimicrobial Resistance: A Comprehensive Review on Diagnostic, Treatment, and Prevention Aspects.Saudi medical journal · 2026Review
- Automated microscopy for malaria diagnosis in a reference laboratory in nonendemic settings.Parasites & vectors · 2026Article
- Application of artificial intelligence in geriatric infection: recent advances and prospects.Frontiers in cellular and infection microbiology · 2026Review
- Framework for developing explainable artificial intelligence models for neglected tropical disease diagnosis in low-resource settings.Frontiers in digital health · 2026Article
- Diagnostic Accuracy of the National Library of Medicine (NLM) Screener Application in Screening for Malaria Parasites Among Blood Donors at the Korle-Bu Blood Bank, Ghana: A Cross-Sectional Study.Journal of tropical medicine · 2026Article
- "It doesn't require blood!": Perceptions around non-invasive malaria testing tools in Indonesia, Peru, and Rwanda.PloS one · 2026Article
- FedMal-XAI: an explainable federated vision transformer leveraging knowledge distillation for privacy-preserving malaria detection.Frontiers in public health · 2026Article
- Molecular Investigation of FIKK Kinase Family to Develop PCR-Based Diagnosis of Plasmodium falciparum.Molecular biotechnology · 2025Article
- Artificial Intelligence in Infectious Disease Diagnostic Technologies.Diagnostics (Basel, Switzerland) · 2025Review
- Hemoparasites in Wild Birds: A Systematic Review of Their Ecology and Clinical Implications.Animals : an open access journal from MDPI · 2025Review
- Platelets Image Classification Through Data Augmentation: A Comparative Study of Traditional Imaging Augmentation and GAN-Based Synthetic Data Generation Techniques Using CNNs.Journal of imaging · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malaria is an infectious disease caused by parasites of the genus
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.