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Article

Revealing the Impact of Pre-training Data on Medical Foundation Models

2025-04-03

Abstract excerpt

<title>Abstract</title> <p>Medical foundation models (FM), pre-trained on large-scale unlabelled data, have demonstrated robust performance and high efficiency when fine-tuned to various clinically relevant applications. However, the impact of pre-training data on medical FM performance such as generalisability and fairness, which form the foundation in fine-tuned models, remains unexplored. To address this, we s...

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Literature Corpus work
0ab5ff84-5add-56e8-bb22-93fee6cdb915
DOI
10.21203/rs.3.rs-6080254/v1
Open publication

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Revealing the Impact of Pre-training Data on Medical Foundation ModelsDOI 10.21203/rs.3.rs-6080254/v1
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