DOAJ Open Access 2026

The portability paradox of foundation models for clinical decision support

Kyra L. Rosen Margaret Sui Ariel Yuhan Ong Joseph C. Kvedar

Abstrak

Yakdan et al. demonstrate that foundation models (FMs) trained to predict cervical spondylotic myelopathy from electronic health record data outperform traditional models on internal datasets but lose their advantage during external validation. This suggests that the feature-dense patterns learned by FMs may reduce their portability across settings, particularly for rare outcomes. As FMs approach clinical deployment, local validation, subgroup analysis, and attention to implementation burden are essential to inform health system planning and stewardship.

Topik & Kata Kunci

Computer applications to medicine. Medical informatics

Penulis (4)

Kyra L. Rosen

Margaret Sui

Ariel Yuhan Ong

Joseph C. Kvedar

Format Sitasi

APA MLA BibTeX

Rosen, K.L., Sui, M., Ong, A.Y., Kvedar, J.C. (2026). The portability paradox of foundation models for clinical decision support. https://doi.org/10.1038/s41746-026-02615-4

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Informasi Jurnal

Tahun Terbit: 2026
Sumber Database: DOAJ
DOI: 10.1038/s41746-026-02615-4
Akses: Open Access ✓