Cost-Utility Analysis of Deep Learning and Trained Human Graders for Diabetic Retinopathy Screening in a Nationwide Program-Reference-Cited by-同舟云学术

Cost-Utility Analysis of Deep Learning and Trained Human Graders for Diabetic Retinopathy Screening in a Nationwide Program

Published:2023-02-25 Issue:2 Volume:12 Page:1339-1357
ISSN:2193-8245
Container-title:Ophthalmology and Therapy
language:en
Short-container-title:Ophthalmol Ther

Author:

Srisubat Attasit,Kittrongsiri Kankamon,Sangroongruangsri Sermsiri,Khemvaranan Chalida,Shreibati Jacqueline Baras,Ching Jack,Hernandez John,Tiwari Richa,Hersch Fred,Liu Yun,Hanutsaha Prut,Ruamviboonsuk Varis,Turongkaravee Saowalak,Raman Rajiv,Ruamviboonsuk Paisan^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Ophthalmology

Link

https://link.springer.com/content/pdf/10.1007/s40123-023-00688-y.pdf

Reference40 articles.

1. Grzybowski A, Brona P, Lim G, Ruamviboonsuk P, Tan GSWW, Abramoff M, et al. Artificial intelligence for diabetic retinopathy screening: a review. Eye. 2020;34:451–60.

2. Heydon P, Egan C, Bolter L, Chambers R, Anderson J, Aldington S, et al. Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients. Br J Ophthalmol. 2021;105:723–8.

3. Zhang Y, Shi J, Peng Y, Zhao Z, Zheng Q, Wang Z, et al. Artificial intelligence-enabled screening for diabetic retinopathy: a real-world, multicenter and prospective study. BMJ Open Diabetes Res Care. 2020;8:e001596.

4. Ruamviboonsuk P, Chantra S, Seresirikachorn K, Ruamviboonsuk V, Sangroongruangsri S. Economic evaluations of artificial intelligence in ophthalmology. Asia-Pacific J Ophthalmol. 2021;10:307–16.

5. Beede E, Baylor E, Hersch F, Iurchenko A, Wilcox L, Ruamviboonsuk P, et al. A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy. In: Proc 2020 CHI conf hum factors comput syst. New York: ACM; 2020. p. 1–12

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population;Diabetology & Metabolic Syndrome;2024-08-29

2. Novel artificial intelligence for diabetic retinopathy and diabetic macular edema: what is new in 2024?;Current Opinion in Ophthalmology;2024-08-27

3. A systematic review of economic evaluation of artificial intelligence-based screening for eye diseases: From possibility to reality;Survey of Ophthalmology;2024-07

4. Landscape and challenges in economic evaluations of artificial intelligence in healthcare: a systematic review of methodology;BMC Digital Health;2024-07-01

5. A pilot cost-analysis study comparing AI-based EyeArt® and ophthalmologist assessment of diabetic retinopathy in minority women in Oslo, Norway;International Journal of Retina and Vitreous;2024-05-23