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February 27, 2026BMJ Innovations

Development of a machine learning model for malaria parasite detection in peripheral blood smears: a preliminary evaluation using Create ML

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Retrospective study develops a code-free machine learning model for malaria detection in blood smears, indicating promising accuracy.

The study aims to develop a code-free machine learning model for malaria parasite detection to enhance diagnostic efficiency.
Digitised Leishman-stained peripheral blood smears at 1000× magnification.
Annotated ring forms, trophozoites, leucocytes, and platelets in digitised images.
Divided images into training, validation, and test subsets in an 80:10:10 ratio.
Trained the model using Create ML platform and assessed outcomes with IoU, F1-score, and confusion matrix.
Achieved localisation accuracy (IoU 50) of 89% during training and 88% during validation.
Test results indicated a mean IoU 50 of 80%, with variability (64%-95%) based on parasite life stage.
Calculated mean precision of 92% and recall of 93% for object classification.

Saxena et al. (2026) studied this question.

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February 27, 2026BMJ Innovations

View Full Paper

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Authors

Retrospective study develops a code-free machine learning model for malaria detection in blood smears, indicating promising accuracy.

The study aims to develop a code-free machine learning model for malaria parasite detection to enhance diagnostic efficiency.
Digitised Leishman-stained peripheral blood smears at 1000× magnification.
Annotated ring forms, trophozoites, leucocytes, and platelets in digitised images.
Divided images into training, validation, and test subsets in an 80:10:10 ratio.
Trained the model using Create ML platform and assessed outcomes with IoU, F1-score, and confusion matrix.
Achieved localisation accuracy (IoU 50) of 89% during training and 88% during validation.
Test results indicated a mean IoU 50 of 80%, with variability (64%-95%) based on parasite life stage.
Calculated mean precision of 92% and recall of 93% for object classification.

Saxena et al. (2026) studied this question.

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