Author

J. Boughey

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Preprint Sep 2026

WILSON - Multi-magnification composites as a foundation for patient-level pathology analysis and diagnostic text generation

Pathologists examine tissue sections across multiple magnifications and slides, integrating morphological information to establish a diagnosis. In contrast, most pathology foundation models encode thousands of image patches from a single representative ("best") slide and aggregate their features, limiting multiscale an...

S. Alfasly, W. Uegami, S. Hemati et al. · 0 citations

#artificial intelligence Preprint Sep 2026

WILSON - a pathology foundation model framework for patient-level analysis and diagnostic text generation

WILSON, a vision--language foundation model that represents whole-slide images and multi-slide cases as single multi-magnification composite images as single multi-magnification composite images, trained on approximately 189k slides from Mayo Clinic spanning 42 organs and 829 diagnostic entities using pathology reports...

S. Alfasly, W. Uegami, S. Hemati 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. · Clinical and Translational R... · 0 citations