2025
AI explainability in oculomics:
How it works, its role in establishing trust, and what still needs to be addressed.
2024
Development and validation of a deep-learning model
to predict 10-year ASCVD risk from retinal images using the UK Biobank and EyePACS 10K datasets.
2023
Examination of alternative eGFR definitions on the performance of deep learning models
for detection of chronic kidney disease from fundus photographs.
A multi-centre prospective evaluation of THEIA™
to detect diabetic retinopathy (DR) and diabetic macular oedema (DMO) in the New Zealand screening program.
Automation of Macular Degeneration Classification in the AREDS Dataset
Using a novel neural network design.
2022
Patients Perceptions of Artificial Intelligence in Diabetic Eye Screening.
Artificial intelligence (AI) technology is poised to revolutionize modern delivery of healthcare services.
2021
Prospective Study
THEIA™ development, and testing of artificial intelligence-based primary triage of diabetic retinopathy screening images in New Zealand.
2020
THEIA used OCTA for diagnosis of AMD
Quantification of Optical Coherence Tomography Angiography in Age and Age-Related Macular Degeneration Using Vessel Density Analysis.
THEIA as multi-modal imaging detection of AMD
Multimodal Retinal Image Analysis via Deep Learning for the Diagnosis of Intermediate Dry Age-Related Macular Degeneration: A Feasibility Study.
2019
THEIA as a smoking detection tool
Detection of smoking status from retinal images; a Convolutional Neural Network study.
