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Shepherd Research Lab

A.I. Research

Studies that utilize AI, machine learning, or deep learning. We use these technologies to assess human health, discover trends in health risks, and to predict the risk of disease. Click the links to learn more.

Ongoing Projects

  • AI Precision Health Institute

    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 disease.

Latest publications related to artificial intelligence:

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Bunnell A, Valdez D, Wolfgruber T, Altamirano A, Hernandez B, Sadowski P, et al. Abstract P3-04-05: Artificial Intelligence Detects, Classifies, and Describes Lesions in Clinical Breast Ultrasound Images [Internet]. San Antonio Breast Cancer Symposium 2022; 2023 Mar 1 [cited 2023 Mar 15]. Cite
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Glaser Y, Shepherd J, Leong L, Wolfgruber T, Lui LY, Sadowski P, et al. Deep learning predicts all-cause mortality from longitudinal total-body DXA imaging. Commun Med [Internet]. 2022 Aug 16;2. Cite Download
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Leong LT, Wong MC, Glaser Y, Wolfgruber T, Heymsfield SB, Sadwoski P, et al. Quantitative Imaging Principles Improves Medical Image Learning. 2022 Jul 1; Cite Download
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Wong MC, Leong LT, Glaser Y, Sadowski P, Cummings S, Shepherd JA. Artificial Intelligence Predicts Spine and Hip BMD from Whole-Body Dual Energy Xray Absorptiometry Scans. Oral Presentation presented at: International Workshop on Quantitative Musculoskeletal Imaging; 2022 Jun 13; Noordwijk, Netherlands. Cite
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Glaser Y, Sehpherd J, Leong L, Wolfgruber T, Lui LY, Cummings SR. Deep-learning-derived all-cause mortality predictor significantly correlated with bone mineral density in males. Poster presented at: International Workshop on Quantitative Musculoskeletal Imaging; 2022 Jun 13; Noordwijk, Netherlands. Cite
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Bennett JP, Leong LT, Liu YE, Kelly NN, Glaser Y, Sadowski P, et al. Use of Artificial Intelligence Regional Hallucinations to Correct Body Composition Predictions in Individuals with Metal Implants and Poor Positioning. Oral Presentation presented at: International Workshop on Quantitative Musculoskeletal Imaging; 2022 Jun 13; Noordwijk, Netherlands. Cite
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Leong L, Wong MC, Liu YE, Kelly NN, Glaser Y, Sadowski P, et al. Artificial Intelligence Generates Real Analyzable Dual Energy X-ray Absorptiometry Scans from Three-Dimensional Body Scans. Oral Presentation presented at: International Workshop on Quantitative Musculoskeletal Imaging; 2022 Jun 13; Noordwijk, Netherlands. Cite
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Leong L. Modular artificial intelligence models for body composition research. Poster presented at: 2022 Biomedical Sciences & Health Disparities Symposium; 2022 Apr 7; Honolulu, HI. Cite Download
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Willingham Jr ML, Spencer S, Lum CA, Sanchez JMN, Burnett T, Shepherd J, et al. The potential of using artificial intelligence to improve skin cancer diagnoses in Hawai'i's multiethnic population. Melanoma Research [Internet]. 2021 Dec 1;31(6):504–14. Cite

View more publications on our Publication page.