Reducing the burden of cancer in Hawaiʻi through AI
The AI Precision Health Institute develops and validates AI models for cancer-risk identification, early detection, and novel interventions — focused on the unique ethnic and cultural qualities of Hawaiʻi and the Pacific.
What we do
AI PHI develops and validates AI models for cancer risk, detection, and intervention — with a focus on the unique ethnic and cultural qualities of Hawaiʻi and the Pacific. We support the AI-for-cancer community in the region through pilot project funding, technical resources, and a monthly affinity group bringing together AI researchers and clinicians.
LUMIN: predicting breast cancer recurrence from longitudinal multimodal screening
Friday, June 5, 2026 · 9:00 AM HST · via Zoom
Tianyu Zhang, PhD · Netherlands Cancer Institute & Radboud UMC
A new AAAI 2026 framework that uses longitudinal mammograms paired with electronic health records to anticipate breast-cancer recurrence — and shows how disentangling cross-modal and temporal factors makes the prediction more accurate and more interpretable.
Register for this Event → All upcoming events →
Register once to attend this and any future AI PHI Affinity Group meeting — Zoom emails you the join link automatically.
From mammography to melanoma
Selected figures from AI PHI publications across breast imaging, dermatology, and risk modeling.
Predicting mortality from total-body DXA
Glaser Y, Shepherd J, Leong LT, Wolfgruber T, Lui L, Sadowski P, Cummings SR. Deep learning predicts all-cause mortality from longitudinal total-body DXA imaging. Communications Medicine. 2022;2(1):102.
A deep neural network trained on whole-body DXA scans from 3,000+ older adults in the Health ABC study predicts all-cause mortality more accurately than established clinical risk scores — and surfaces interpretable image regions that drive the prediction.
Co-Directors
John Shepherd, PhD
Co-Director · Imaging Sciences
Peter Sadowski, PhD
Co-Director · Machine Learning
Built with our community
Industry support from Western Digital (data-storage equipment and expertise). Academic collaborations with the University of Hawaiʻi High Performance Computation Center and the UH Data Science Institute. Convening home: the University of Hawaiʻi Cancer Center.