3D Optical Scan
Leong L, Wong M, Piazza M, Garry S, Heymsfield S, Shepherd J. Creating Accurate Representations of DXA Scans from 3D Optical Body Surface Scans for Arbitrary Regional Body Composition Analysis. 2021.
Advancing the assessment of human health through technology
AI PHI is located at the University of Hawai’i Cancer Center in Honolulu. We use advanced technology including AI, machine learning, and deep learning to assess human health and predict the risk of diseases such as cancer.
AI-Predicted DXA
Leong L, Wong M, Piazza M, Garry S, Heymsfield S, Shepherd J. Creating Accurate Representations of DXA Scans from 3D Optical Body Surface Scans for Arbitrary Regional Body Composition Analysis. 2021.
Our Directors

John Shepherd
Co-director
Managing and Imaging Sciences

Peter Sadowski
Co-Director
Machine Learning
Actual DXA
Leong L, Wong M, Piazza M, Garry S, Heymsfield S, Shepherd J. Creating Accurate Representations of DXA Scans from 3D Optical Body Surface Scans for Arbitrary Regional Body Composition Analysis. 2021.
Research
Our studies use artificial intelligence to improve and quantify the use of digital imaging in the diagnosis of diseases.





Difference
Leong L, Wong M, Piazza M, Garry S, Heymsfield S, Shepherd J. Creating Accurate Representations of DXA Scans from 3D Optical Body Surface Scans for Arbitrary Regional Body Composition Analysis. 2021.
Featured Research
The background images used on this page come from our 2021 presentation, Creating Accurate Representations of DXA Scans from 3D Optical Body Surface Scans for Arbitrary Regional Body Composition Analysis (Leong L, et al.). Watch the video below for a demonstration.
The AI learns to accurately reconstruct DXA scans after learning the structure and detail from 20K images
Our work involves analyzing many different types of images, including DXA and digital mammography.