Browse by Journal or Publication Title

H

Heydon, Peter, Egan, Catherine, Bolter, Louis, Chambers, Ryan, Anderson, John, Aldington, Steve, Stratton, Irene M, Scanlon, Peter H ORCID: https://orcid.org/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

S

Scanlon, Peter H ORCID: https://orcid.org/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: https://orcid.org/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: https://orcid.org/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: https://orcid.org/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