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 A Systematic Review and Implementation Guidelines of Multimodal Foundation Models in Medical Imaging

2025-04-28

Abstract excerpt

<title>Abstract</title> <p>Artificial Intelligence (AI) holds immense potential to transform healthcare, yet progress is often hindered by the reliance on large labeled datasets and unimodal data. Multimodal Foundation Models (FMs), particularly those leveraging Self-Supervised Learning (SSL) on multimodal data, offer a paradigm shift towards label-efficient, holistic patient modeling. However, the rapid emergenc...

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Literature Corpus work
30129829-d24d-5401-b154-4601d08aef2b
DOI
10.21203/rs.3.rs-5537908/v1
Open publication

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A Systematic Review and Implementation Guidelines of Multimodal Foundation Models in Medical ImagingDOI 10.21203/rs.3.rs-5537908/v1
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