Arianna Bunnell

Computer Science PhD Student

I am a Ph.D. candidate (ABD as of November 2025) in Computer Science in the Department of Information and Computer Sciences at the University of Hawaii at Manoa. My research interests are in interpretable deep learning for physician users. I'm also passionate about the study of healthcare AI ethics, particularly under feminist and intersectional frameworks.

Papers

The Addition of Artificial Intelligence to Consent-as-Authority: Development of Care-Ethical Consent-as-Trust

Arianna Bunnell and Sharon Rowe (2026) Preprint.

Full Article

Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging

Arianna Bunnell et al. (2025) In International Workshop on Shape in Medical Imaging, Daejeon, Republic of Korea.

Full Article

Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy

Arianna Bunnell et al. (2025) PLOS Digital Health, 4(9), e0001019.

Full Article

Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis

Arianna Bunnell et al. (2025) The Lancet Regional Health - Americas (46): ISSN 2667-193X.

Full Article

BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI

Arianna Bunnell, Kailee Hung et al. (2024) PLOS ONE 19(12): e0315434.

Full Article

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Arianna Bunnell et al. (2024) 27th International Conference on Medical Image Computing and Computer Assisted Intervention, Marrakesh, Morocco.

Full Article

See all 8 papers

Presentations

Adaptation of a Histopathology Foundation AI Model for Cytopathology Interpretation of Breast Cancer to Improve Diagnostic Access 2026

I presented my work on using machine learning techniques to adapt a histopathology foundation model for use in breast cytology AI at the International Agency for Research on Cancer's 60th Anniversary Scientific Conference.

Oral Cytology AI

Developing a Data Standardization Pipeline for Evaluation of Mammography AI in Hawaii 2026

My undergraduate mentees Elijah Saloma, Kanta Saito, and Wilson Huynh presented their work on the development of automatic mammographic anomaly identification software they developed for use in the women in the HIPIMR at the UROP Symposium in Honolulu.

Oral Breast Cancer AI

Collaborative Mixing of Clinical Concept Sources for Explainable Malignancy Prediction in Dermoscopy 2026

I presented my work on the deep learning model I developed for explainable, collaborative skin cancer prediction from dermoscopy imaging at the Biomedical Sciences & Health Disparities Symposium in Honolulu.

Poster Dermoscopy AI