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13 results

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An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost-effectiveness.
Tufail A, Kapetanakis VV, Salas-Vega S, Egan C, Rudisill C, Owen CG, Lee A, Louw V, Anderson J, Liew G, Bolter L, Bailey C, Sadda S, Taylor P, Rudnicka AR. Tufail A, et al. Among authors: bolter l. Health Technol Assess. 2016 Dec;20(92):1-72. doi: 10.3310/hta20920. Health Technol Assess. 2016. PMID: 27981917 Free PMC article.
Automated Diabetic Retinopathy Image Assessment Software: Diagnostic Accuracy and Cost-Effectiveness Compared with Human Graders.
Tufail A, Rudisill C, Egan C, Kapetanakis VV, Salas-Vega S, Owen CG, Lee A, Louw V, Anderson J, Liew G, Bolter L, Srinivas S, Nittala M, Sadda S, Taylor P, Rudnicka AR. Tufail A, et al. Among authors: bolter l. Ophthalmology. 2017 Mar;124(3):343-351. doi: 10.1016/j.ophtha.2016.11.014. Epub 2016 Dec 23. Ophthalmology. 2017. PMID: 28024825 Free article.
Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images.
Olvera-Barrios A, Heeren TF, Balaskas K, Chambers R, Bolter L, Egan C, Tufail A, Anderson J. Olvera-Barrios A, et al. Among authors: bolter l. Br J Ophthalmol. 2021 Feb;105(2):265-270. doi: 10.1136/bjophthalmol-2019-315394. Epub 2020 May 6. Br J Ophthalmol. 2021. PMID: 32376611
Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients.
Heydon P, Egan C, Bolter L, Chambers R, Anderson J, Aldington S, Stratton IM, Scanlon PH, Webster L, Mann S, du Chemin A, Owen CG, Tufail A, Rudnicka AR. Heydon P, et al. Among authors: bolter l. Br J Ophthalmol. 2021 May;105(5):723-728. doi: 10.1136/bjophthalmol-2020-316594. Epub 2020 Jun 30. Br J Ophthalmol. 2021. PMID: 32606081 Free PMC article.
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.
Olvera-Barrios A, Rudnicka AR, Anderson J, Bolter L, Chambers R, Warwick AN, Welikala R, Fajtl J, Barman S, Remgnino P, Wu Y, Lee AY, Chew EY, Ferris FL, Hingorani A, Sofat R, A Egan C, Tufail A, Owen CG; ARIAS Research Group. Olvera-Barrios A, et al. Among authors: bolter l. Br J Ophthalmol. 2023 Nov 22;107(12):1839-1845. doi: 10.1136/bjo-2023-324097. Br J Ophthalmol. 2023. PMID: 37875374 Free PMC article.
Ethnic disparities in progression rates for sight-threatening diabetic retinopathy in diabetic eye screening: a population-based retrospective cohort study.
Olvera-Barrios A, Owen CG, Anderson J, Warwick AN, Chambers R, Bolter L, Wu Y, Welikala R, Fajtl J, Barman SA, Remagnino P, Chew EY, Ferris FL, Hingorani AD, Sofat R, Lee AY, Egan C, Tufail A, Rudnicka AR; ARIAS Research Group. Olvera-Barrios A, et al. Among authors: bolter l. BMJ Open Diabetes Res Care. 2023 Nov;11(6):e003683. doi: 10.1136/bmjdrc-2023-003683. BMJ Open Diabetes Res Care. 2023. PMID: 37949472 Free PMC article.
What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease? Development and validation of a survey for use in a secondary care screening setting.
Willis K, Chaudhry UAR, Chandrasekaran L, Wahlich C, Olvera-Barrios A, Chambers R, Bolter L, Anderson J, Barman SA, Fajtl J, Welikala R, Egan C, Tufail A, Owen CG, Rudnicka A; ARIAS Research Group; Study Advisory Group members. Willis K, et al. Among authors: bolter l. BMJ Open. 2023 Nov 15;13(11):e075558. doi: 10.1136/bmjopen-2023-075558. BMJ Open. 2023. PMID: 37968006 Free PMC article.
13 results