A.I. Research
Studies that use AI, machine learning, and deep learning to assess human health, discover trends in health risks, and predict disease.
Ongoing Projects
AI Precision Health Institute (AIPHI)
Based at the University of Hawaiʻi Cancer Center in Honolulu, AIPHI uses advanced technology — AI, machine learning, and deep learning — to assess human health and predict disease risk.
The Makawalu Study — Breast Cancer Screening in the Pacific using Portable Ultrasound
Addresses elevated advanced-stage breast-cancer rates in the Pacific relative to the US mainland, particularly in areas lacking mammography services. Study details →
Deep Learning and Total-Body DXA Scans (TBDXA.I.)
Applies deep learning to total-body DXA scan data to generate predictive algorithms for health outcomes. Study details →
Three-Compartment Breast Lesion Detection
Examines computer-aided diagnostic systems and lesion-composition analysis in digital mammography. See the featured paper on the homepage. Study details →
Related Publications
Recent AI/ML work from the lab spans breast-lesion detection in ultrasound images, mammographic breast-density assessment, mortality prediction from DXA imaging, and skin-cancer diagnosis in multiethnic populations.