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Heydon, Peter, Egan, Catherine, Bolter, Louis, Chambers, Ryan, Anderson, John, Aldington, Steve, Stratton, Irene M, Scanlon, Peter H 
ORCID: 0000-0001-8513-710X, Webster, Laura, Mann, Samantha, du Chemin, Alan, Owen, Christopher G, Tufail, Adnan and Rudnicka, Alicja Regina
(2021)
Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients.
British Journal of Ophthalmology, 105 (5).
pp. 723-728.
doi:10.1136/bjophthalmol-2020-316594
Scanlon, Peter H ORCID: 0000-0001-8513-710X, Carter, S, Foy, C, Ratiram, D and Harney, B
(2005)
An evaluation of the change in activity and workload arising from diabetic ophthalmology referrals following the introduction of a community based digital retinal photographic screening programme.
British Journal of Ophthalmology, 89 (8).
pp. 971-975.
doi:10.1136/bjo.2004.060723
Scanlon, Peter H ORCID: 0000-0001-8513-710X, Foy, C and Chen, F K
(2008)
Visual acuity measurement and ocular co-morbidity in diabetic retinopathy screening.
British Journal of Ophthalmology, 92 (6).
pp. 775-778.
doi:10.1136/bjo.2007.128561
Scanlon, Peter H ORCID: 0000-0001-8513-710X, Malhotra, R., Greenwood, R H, Aldington, S J, Foy, C, Flatman, M and Downes, S
(2003)
Comparison of two reference standards in validating two field mydriatic digital photography as a method of screening for diabetic retinopathy.
British Journal of Ophthalmology, 87 (10).
pp. 1258-1263.
Smith, John J, Wright, David M, Stratton, Irene M, Scanlon, Peter H ORCID: 0000-0001-8513-710X and Lois, Noemi
(2021)
Testing the performance of risk prediction models to determine progression to referable diabetic retinopathy in an Irish type 2 diabetes cohort.
British Journal of Ophthalmology, 106 (8).
pp. 1051-1056.
doi:10.1136/bjophthalmol-2020-318570
