Data Augmentation in Healthcare Data Modalities: A Comprehensive Review

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Key Points

The central aim is to evaluate the role and effectiveness of data augmentation in various healthcare data modalities.
Conducted a comprehensive literature review to analyze different data augmentation techniques.
Examined applications across various healthcare data types, including biomedical images and electronic health records.
Discussed methodological approaches and their implications on improving data quality and model performance.
Data augmentation significantly enhances model performance in healthcare applications.
Various techniques have shown improved accuracy and robustness across different healthcare datasets.
Findings suggest that data augmentation can address issues related to data scarcity in healthcare.

Comprehensive review highlights the impact of data augmentation on healthcare data modalities, indicating its potential benefits.

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Nanda et al. (2026) studied this question.

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