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October 17, 2025Open Access

Towards Robust Foundation Models for Digital Pathology

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Systematic analysis reveals robustness issues in pathology models, indicating urgent need for robustification measures.

Robustness evaluation reveals significant deficits across all 20 evaluated biomedical foundation models.
PathoROB framework introduces novel metrics, including the robustness index, enhancing model assessment.
Non-robust models can lead to major diagnostic errors, highlighting risks in clinical deployment.
Integrating robustness as a core design principle is crucial for safe clinical adoption of pathology models.

Komen et al. (2025) studied this question.

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October 17, 2025Open Access

View Full Paper

Ask AI

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Authors

Systematic analysis reveals robustness issues in pathology models, indicating urgent need for robustification measures.

Robustness evaluation reveals significant deficits across all 20 evaluated biomedical foundation models.
PathoROB framework introduces novel metrics, including the robustness index, enhancing model assessment.
Non-robust models can lead to major diagnostic errors, highlighting risks in clinical deployment.
Integrating robustness as a core design principle is crucial for safe clinical adoption of pathology models.

Komen et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark