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Andrew Y. K. Foong

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#machine learning Preprint Sep 2026

Morphology signal in whole slide image foundation models can automatically triage slides

Evaluations show that ranking WSIs based on predictions from zero-shot classification using WSI FMs accurately identifies slides with the most tumor, indicating that WSI FMs contain sufficient morphology signal to automatically triage slides.

Ayushi Sinha, Shashank Yadav, Benjamin Holmes et al. · 0 citations
Review Open access Aug 2026

The daily dose: Early usability of an LLM tool for patient summaries and trial matching in radiation oncology

The design and early usability and adoption evaluation of The Daily Dose, an LLM-driven system for automated clinical summarization and trial identification in radiation oncology, was widely adopted and generally favorably perceived.

J. Holmes, F. Mastroleo, M. Borras-Osorio et al. · 0 citations

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