Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy
Bunnell A, Valdez D, Strand F, Glaser Y, Sadowski P, Shepherd J
PLOS Digital Health, 4, e0001019 (2025)
Makawalu — Publications
Papers tagged makawalu — XAI concept bottleneck model for POCUS breast cancer detection in USAPI
7 publications · sorted by year, newest first.
2025
Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis
Bunnell A, Valdez D, Wolfgruber T, Quon BK, Hung K, Hernandez BY, Seto TB, Killeen J, Miyoshi M, Sadowski P, Shepherd J
The Lancet Regional Health - Americas, 46, 101096 (2025)
2024
Abstract 3449: Is AI-enhanced breast ultrasound ready for breast cancer screening in low-resource environments? A systematic review
Bunnell A, Valdez D, Strand F, Glaser Y, Sadowski P, Shepherd J
Cancer Research, 84, 3449 (2024)
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound
Bunnell A, Glaser Y, Valdez D, Wolfgruber T, Altamirano A, González CZ, Hernandez BY, Sadowski P, Shepherd J
Lecture notes in computer science, , 650-659 (2024)
2023
Abstract P3-03-02: Can artificial intelligence derived ultrasound breast density provide comparable breast cancer risk estimates to density derived from mammograms
Valdez D, Bunnell A, Wolfgruber T, Altamirano A, Quon BK, Maskarinec G, Sadowski P, Shepherd J
Cancer Research, 83, P3-03 (2023)
Abstract P3-04-05: Artificial Intelligence Detects, Classifies, and Describes Lesions in Clinical Breast Ultrasound Images
Bunnell A, Valdez D, Wolfgruber T, Altamirano A, Hernandez BY, Sadowski P, Shepherd J
Cancer Research, 83, P3-04 (2023)
2022
Abstract P3-01-13: Comparing portable and clinical ultrasound systems using 3D printed breast phantom inserts
Valdez D, Fukui J, Wolfgruber T, Leong LT, Maskarinec G, Shepherd J
Cancer Research, 82, P3-01 (2022)