ReviewBioinformatics advances2026
An interactive mindmap of blood film images for automated malaria diagnosis: a comprehensive metadata repository of available datasets.
Review in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Summary: Malaria remains a significant public health challenge, necessitating innovative diagnostic solutions to combat high mortality rates. Here, we conducted a systematic review of malaria microscopy datasets published between 2014 and 2024 by querying Scopus and PubMed databases. We have a curated inventory of 71 malaria blood film image datasets. To further enhance usability, we developed an interactive mind map that visually represents the datasets based on five key features. The Availability and implementation: Not applicable.
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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.