What type of study is this?

This is a Meta-Analysis study (also classified as: Systematic Review).

December 8, 2025JMIR AIOpen Access

Application of Deep Learning-Based Multimodal Data Fusion for the Diagnosis of Skin Neglected Tropical Diseases: Systematic Review

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Authors

YMYohannes Minyilu

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Implication

Systematic review shows deep learning multimodal data fusion improves diagnosis of neglected tropical diseases, indicating potential for ethical algorithm use in healthcare.

Key Points

Multimodal data fusion significantly enhances diagnosis efficiency for skin neglected tropical diseases and non-NTD skin conditions.
The review analyzed 14 studies, finding that convolutional neural networks were dominant, achieving high model performance.
Systematic review outlined algorithm selection, risk of bias, and ethical concerns surrounding deep learning applications.
The findings support future research into multimodal diagnostic techniques for resource-constrained areas and data scarcity issues.

Cite This Study

Yohannes Minyilu (2025) studied this question.

synapsesocial.com/papers/69362f694fa91c937236deb6 https://doi.org/10.2196/67584

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Implication

Systematic review shows deep learning multimodal data fusion improves diagnosis of neglected tropical diseases, indicating potential for ethical algorithm use in healthcare.

Application of Deep Learning-Based Multimodal Data Fusion for the Diagnosis of Skin Neglected Tropical Diseases: Systematic Review

Discussion

Member takes

Implication

Key Points

Cite This Study

Application of Deep Learning-Based Multimodal Data Fusion for the Diagnosis of Skin Neglected Tropical Diseases: Systematic Review

Discussion

Member takes

Implication

Key Points

Cite This Study

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