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This is a Literature Review study.

September 10, 2025Open Access

Integrating Multimodal Data with Large Foundation Models in Healthcare

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Authors

HCHyunwoo ChoiKorea Advanced Institute of Science and Technology EKEunji KangUlsan National Institute of Science and Technology DSDae Hyun SongChangwon National University

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Implication

Survey highlights large foundation models' role in healthcare data integration and clinical decision-making, suggesting ethical deployment challenges.

Key Points

Large foundation models enhance clinical decision-making by integrating complex healthcare data effectively.
The integration of LFMs into clinical settings faces challenges of interpretability and data privacy.
This survey investigates innovative techniques like federated learning to advance fair and responsible AI in health.
Interdisciplinary collaboration is vital to unlock the full potential of LFMs in healthcare.

Cite This Study

Choi et al. (2025) studied this question.

synapsesocial.com/papers/68c1c31b54b1d3bfb60f0a34 https://doi.org/10.20944/preprints202508.0498.v1

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Implication

Survey highlights large foundation models' role in healthcare data integration and clinical decision-making, suggesting ethical deployment challenges.

Integrating Multimodal Data with Large Foundation Models in Healthcare

Discussion

Member takes

Implication

Key Points

Cite This Study

Integrating Multimodal Data with Large Foundation Models in Healthcare

Discussion

Member takes

Implication

Key Points

Cite This Study

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