Multimodal foundation models exploit text to make medical image predictions
Thomas A. Buckley; James A. Diao; Cam N. Srivastava; Peter G. Brodeur; Pranav Rajpurkar; Adam M. Rodman; Arjun Kumar Manrai · 2026 · Nature Communications
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Multimodal foundation models have shown compelling but conflicting performance in medical image interpretation. However, the ways in which these models integrate and prioritize different data modalities, including images and text, remain…
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Metadata source: OpenAlex · DOI 10.1038/s41467-026-74207-5