Clinical trial NCT04132401 - References

Diabetic Retinopathy — AI for the Detection of Retinal Disease and Glaucoma in Patients With Diabetes Mellitus in Primary Care

Citation(s)

•   Abramoff MD, Lavin PT, Birch M, Shah N, Folk JC
  Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. NPJ Digit Med. 2018 Aug 28;1:39. doi: 10.1038/s41746-018-0040-6. eCollection 2018.
•   Abramoff MD, Lou Y, Erginay A, Clarida W, Amelon R, Folk JC, Niemeijer M
  Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning. Invest Ophthalmol Vis Sci. 2016 Oct 1;57(13):5200-5206. do
•   Bourne RR, Stevens GA, White RA, Smith JL, Flaxman SR, Price H, Jonas JB, Keeffe J, Leasher J, Naidoo K, Pesudovs K, Resnikoff S, Taylor HR; Vision Loss Expert Group
  Causes of vision loss worldwide, 1990-2010: a systematic analysis. Lancet Glob Health. 2
•   Dankwa-Mullan I, Rivo M, Sepulveda M, Park Y, Snowdon J, Rhee K
  Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here. Popul Health Manag. 2019 Jun;22(3):229-242. doi: 10.1089/pop.2018.0129. Epub 2018 Oct 2.
•   Gomez-Ulla F, Fernandez MI, Gonzalez F, Rey P, Rodriguez M, Rodriguez-Cid MJ, Casanueva FF, Tome MA, Garcia-Tobio J, Gude F
  Digital retinal images and teleophthalmology for detecting and grading diabetic retinopathy. Diabetes Care. 2002 Aug;25(8):1384-9.
•   Li Z, Keel S, Liu C, He Y, Meng W, Scheetz J, Lee PY, Shaw J, Ting D, Wong TY, Taylor H, Chang R, He M
  An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs. Diabetes Care.
•   Quellec G, Charriere K, Boudi Y, Cochener B, Lamard M
  Deep image mining for diabetic retinopathy screening. Med Image Anal. 2017 Jul;39:178-193. doi: 10.1016/j.media.2017.04.012. Epub 2017 Apr 28.
•   Sanchez Gonzalez S, Calvo Lozano J, Sanchez Gonzalez J, Pedregal Gonzalez M, Cornejo Castillo M, Molina Fernandez E, Barral FJ, Perez Espinosa JR
  [Assessment of the use of retinography as a screening method for the early diagnosis of chronic glaucoma in
•   Somfai GM, Tatrai E, Laurik L, Varga B, Olvedy V, Jiang H, Wang J, Smiddy WE, Somogyi A, DeBuc DC
  Automated classifiers for early detection and diagnosis of retinopathy in diabetic eyes. BMC Bioinformatics. 2014 Apr 12;15:106. doi: 10.1186/1471-2105-15-1
•   Usher D, Dumskyj M, Himaga M, Williamson TH, Nussey S, Boyce J
  Automated detection of diabetic retinopathy in digital retinal images: a tool for diabetic retinopathy screening. Diabet Med. 2004 Jan;21(1):84-90. doi: 10.1046/j.1464-5491.2003.01085.x.

Artificial Intelligence for the Detection of Central Retinal Disease and Non-mydriatic Glaucoma in the Context of Patients With Diabetes Mellitus in Primary Care: A Prospective Study Comparing the Diagnostic Capacity of an AI Algorithm

Details for clinical trial NCT04132401