Author

H. Emamekhoo

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#explainable ai Review Open access Oct 2026

Implementing AI-assisted, patient-friendly imaging report summaries to enhance oncology care delivery: protocol for a randomized mixed-methods quality improvement study

A mixed-methods study of the implementation of a patient-friendly results tool in oncology provider workflows to facilitate improved communication of radiology results to oncology patients to close an important oncology care gap.

M. R. Baumann, H. J. Barton, P. Voorheis et al. · medRxiv · 0 citations

Aug 2026

Longitudinal Phenotyping of Circulating Tumor Cells using a Scalable Deep Learning Framework.

This work developed and clinically validated the System for Enhanced Evaluation of Tumor Cells (SEE-TC), a deep learning approach for scalable, reproducible phenotyping of individual circulating cells that is the first fully automated AI approach to single-cell segmentation and CTC phenotyping.

M. Bootsma, M. Sharifi, J. Sperger et al. · Clinical Cancer Research · 0 citations