Area of research
Ophthalmology · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Retinal Imaging and Analysis, Retinal Diseases and Treatments, Glaucoma and retinal disorders, and Obesity, Physical Activity, Diet.
Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology
Automated retinal image analysis systems to triage for grading of diabetic retinopathy: a large-scale, open-label, national screening programme in England.
Independent and openly reported head-to-head comparative validation studies of AI medical devices: a necessary step towards safe and responsible clinical AI deployment.
Effect of ethnicity and other sociodemographic factors on attendance at ophthalmology appointments following referral from a Diabetic Eye Screening Programme: a retrospective cohort study.
A simple score-based strategy to improve equity of the UK biennial diabetic eye screening protocol among people deemed as low risk.
Standardization and clinical applications of retinal imaging biomarkers for cardiovascular disease: a Roadmap from an NHLBI workshop
Trustworthy Evaluation of Clinical AI for Analysis of Medical Images in Diverse Populations
Massive open online courses (MOOCs) in genomic variant interpretation: An innovative education strategy for the growing genetic counselor workforce.
A foundation model for generalizable disease detection from retinal images
GWAS on retinal vasculometry phenotypes
GWAS on retinal vasculometry phenotypes.
Formal registration of visual impairment in people with diabetic retinopathy significantly underestimates the scale of the problem: a retrospective cohort study at a tertiary care eye hospital service in the UK.
Ethnic disparities in progression rates for sight-threatening diabetic retinopathy in diabetic eye screening: a population-based retrospective cohort study.
Two-year recall for people with no diabetic retinopathy: a multi-ethnic population-based retrospective cohort study using real-world data to quantify the effect.
Two-year recall for people with no diabetic retinopathy: a multiethnic population-based retrospective cohort study using real-world data to quantify the effect
Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke.
UK Biobank retinal imaging grading: methodology, baseline characteristics and findings for common ocular diseases
Nonpharmacological Interventions to Lengthen Sleep Duration in Healthy Children: A Systematic Review and Meta-analysis.
Retinal microvascular associations with cardiometabolic risk factors differ by diabetes status: results from the UK Biobank.
Foveal Curvature and Its Associations in UK Biobank Participants.
Artificial intelligence enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke
Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients.
Association of Childhood Fat Mass and Weight With Adult-Onset Type 2 Diabetes in Denmark.
Effect of ethnicity and other sociodemographic factors on attendance at diabetic eye screening: a 12-month retrospective cohort study.
Quantifying childhood fat mass: comparison of a novel height-and-weight-based prediction approach with DXA and bioelectrical impedance.
Evaluating an Intervention to Increase Cereal Fiber Intake in Children: A Randomized Controlled Feasibility Trial.
Retinal Vascular Tortuosity and Diameter Associations with Adiposity and Components of Body Composition.
Longitudinal impact of changes in the residential built environment on physical activity: findings from the ENABLE London cohort study.
Retinal Vasculometry Associations With Glaucoma: Findings From the European Prospective Investigation of Cancer-Norfolk Eye Study.
Evaluating the effect of change in the built environment on mental health and subjective well-being: a natural experiment.