Artificial Intelligence and Ophthalmology
- PMID: 32167262
- PMCID: PMC7086098
- DOI: 10.4274/tjo.galenos.2020.78989
Artificial Intelligence and Ophthalmology
Abstract
Artificial intelligence is advancing rapidly and making its way into all areas of our lives. This review discusses developments and potential practices regarding the use of artificial intelligence in the field of ophthalmology, and the related topic of medical ethics. Various artificial intelligence applications related to the diagnosis of eye diseases were researched in books, journals, search engines, print and social media. Resources were cross-checked to verify the information. Artificial intelligence algorithms, some of which were approved by the US Food and Drug Administration, have been adopted in the field of ophthalmology, especially in diagnostic studies. Studies are being conducted that prove that artificial intelligence algorithms can be used in the field of ophthalmology, especially in diabetic retinopathy, age-related macular degeneration, and retinopathy of prematurity. Some of these algorithms have come to the approval stage. The current point in artificial intelligence studies shows that this technology has advanced considerably and shows promise for future work. It is believed that artificial intelligence applications will be effective in identifying patients with preventable vision loss and directing them to physicians, especially in developing countries where there are fewer trained professionals and physicians are difficult to reach. When we consider the possibility that some future artificial intelligence systems may be candidates for moral/ethical status, certain ethical issues arise. Questions about moral/ethical status are important in some areas of applied ethics. Although it is accepted that current intelligence systems do not have moral/ethical status, it has yet to be determined what the exact the characteristics that confer moral/ethical status are or will be.
Keywords: Artificial intelligence; machine learning; deep learning; ophthalmology; medical ethics.
Conflict of interest statement
Comment in
-
Comment on: "Artificial Intelligence and Ophthalmology".Turk J Ophthalmol. 2020 Dec 29;50(6):392. doi: 10.4274/tjo.galenos.2020.98354. Turk J Ophthalmol. 2020. PMID: 33389943 Free PMC article. No abstract available.
Similar articles
-
Artificial intelligence in ophthalmology.Rom J Ophthalmol. 2023 Jul-Sep;67(3):207-213. doi: 10.22336/rjo.2023.37. Rom J Ophthalmol. 2023. PMID: 37876505 Free PMC article. Review.
-
Current state and future prospects of artificial intelligence in ophthalmology: a review.Clin Exp Ophthalmol. 2019 Jan;47(1):128-139. doi: 10.1111/ceo.13381. Epub 2018 Sep 30. Clin Exp Ophthalmol. 2019. PMID: 30155978 Review.
-
Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology.Br J Ophthalmol. 2021 Feb;105(2):158-168. doi: 10.1136/bjophthalmol-2019-315651. Epub 2020 Jun 12. Br J Ophthalmol. 2021. PMID: 32532762 Review.
-
Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology.Asia Pac J Ophthalmol (Phila). 2019 May-Jun;8(3):264-272. doi: 10.22608/APO.2018479. Epub 2019 May 31. Asia Pac J Ophthalmol (Phila). 2019. PMID: 31149787 Review.
-
Artificial intelligence and deep learning in ophthalmology.Br J Ophthalmol. 2019 Feb;103(2):167-175. doi: 10.1136/bjophthalmol-2018-313173. Epub 2018 Oct 25. Br J Ophthalmol. 2019. PMID: 30361278 Free PMC article. Review.
Cited by
-
Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review.Updates Surg. 2024 Jun;76(3):783-792. doi: 10.1007/s13304-024-01801-x. Epub 2024 Mar 12. Updates Surg. 2024. PMID: 38472633 Free PMC article. Review.
-
Current uses of artificial intelligence in the analysis of biofluid markers involved in corneal and ocular surface diseases: a systematic review.Eye (Lond). 2023 Jul;37(10):2007-2019. doi: 10.1038/s41433-022-02307-9. Epub 2022 Nov 15. Eye (Lond). 2023. PMID: 36380089 Free PMC article. Review.
-
Artificial intelligence in ophthalmology.Int J Ophthalmol. 2023 Sep 18;16(9):1357-1360. doi: 10.18240/ijo.2023.09.01. eCollection 2023. Int J Ophthalmol. 2023. PMID: 37724277 Free PMC article. No abstract available.
-
Progress in clinical research and applications of retinal vessel quantification technology based on fundus imaging.Front Bioeng Biotechnol. 2024 Feb 22;12:1329263. doi: 10.3389/fbioe.2024.1329263. eCollection 2024. Front Bioeng Biotechnol. 2024. PMID: 38456011 Free PMC article. Review.
-
Artificial intelligence in ophthalmology.Rom J Ophthalmol. 2023 Jul-Sep;67(3):207-213. doi: 10.22336/rjo.2023.37. Rom J Ophthalmol. 2023. PMID: 37876505 Free PMC article. Review.
References
-
- Copeland BJ. Artificial intelligence | Definition, Examples, and Applications | Britannica.com. Encyclopedia Britannica, (2019, accessed 25 February 2019) [Internet] https://www.britannica.com/technology/artificial-intelligence .
-
- Adams S, Arel I, Bach J, Coop R, Furlan R, Goertzel B, Hall JS, Samsonovich A, Scheutz M, Schlesinger M, Shapiro SC, Sowa J. Mapping the Landscape of Human-Level Artificial General Intelligence. AI Magazine. 2012;33:25–42.
-
- Computer AI passes Turing test in ‘world first’ - BBC News, (2014, accessed 25 February 2019). [Internet] https://www.bbc.com/news/technology-27762088 .
-
- Russell SJ, Norvig P. Artificial intelligence : a modern approach. 3rd ed. New Jersey. Pearson Education. 2010.
-
- Samuel AL. Some Studies in Machine Learning Using the Game of Checkers. II—Recent Progress. In: Computer Games I. New York, NY. Springer New York, pp. :366–400.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources