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The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane?
Abstract
Ophthalmology, the medical field dedicated to eye care, is undergoing a transformation due to the advent of artificial intelligence (AI). This review article explores the growing use of AI in ophthalmic practices, focusing on disease diagnosis, screening, and surgical guidance. We examine the potential benefits of AI-powered tools, including their ability to improve the accuracy, efficiency, and accessibility of eye care. However, we also acknowledge the ethical and practical challenges associated with this technology, such as algorithmic bias, the lack of explainability, and potential job displacement. We envision a future where ophthalmologists and AI collaborate to improve patient care and usher in a new era of ophthalmic practice.
Keywords
References
- 1. Grzybowski A, Brona P, Lim G, et al. Artificial intelligence for diabetic retinopathy screening: a review. Eye (Basingstoke). 2019;34(3):451-460. doi:10.1038/s41433-019-0566-0
- 2. Yılmaz İE, Doğan L. Talking technology: exploring chatbots as a tool for cataract patient education. Clin Exp Optom. Published online 2024. doi:10.1080/08164622.2023.2298812
- 3. Levent D, Bekir ÖG, Edhem YĬ. The Performance of Chatbots and the AAPOS Website as a Tool for Amblyopia Education. Journal of Pediatric Ophthalmology & Strabismus. 2024;0(0):1-7. doi:10.3928/01913913-20240409-01
- 4. Rogers TW, Jaccard N, Carbonaro F, et al. Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study. Eye (Basingstoke). 2019;33(11):1791-1797. doi:10.1038/s41433-019-0510-3
- 5. Rajalakshmi R, Subashini R, Anjana RM, Mohan V. Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence. Eye (Basingstoke). 2018;32(6):1138-1144. doi:10.1038/s41433-018-0064-9
- 6. Prashar J, Tay N. Performance of artificial intelligence for the detection of pathological myopia from colour fundus images: a systematic review and meta-analysis. Eye. 2024;38(2):303-314. doi:10.1038/s41433-023-02680-z
- 7. Huang Y, Cheung CY, Li D, et al. AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook. Eye (Basingstoke). 2023;38(3):464-472. doi:10.1038/s41433-023-02724-4 8. Şenol A, Talan T, Aktürk C. A new hybrid feature reduction method by using MCMSTClustering algorithm with various feature projection methods: a case study on sleep disorder diagnosis. Signal Image Video Process. 2024;18(5):4589-4603. doi:10.1007/S11760-024-03097-1/METRICS
- 9. Srivastava O, Tennant M, Grewal P et al. Artificial intelligence and machine learning in ophthalmology: A review. Indian J Ophthalmol. 2023;71(1):11. doi:10.4103/IJO.IJO_1569_22
Details
Primary Language
English
Subjects
Ophthalmology
Journal Section
Review
Authors
Early Pub Date
July 4, 2024
Publication Date
June 14, 2024
Submission Date
March 21, 2024
Acceptance Date
June 7, 2024
Published in Issue
Year 2024 Volume: 5 Number: 2
APA
Yılmaz, İ. E. (2024). The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane? Experimental and Applied Medical Science, 5(2), 61-71. https://doi.org/10.46871/eams.1456762
AMA
1.Yılmaz İE. The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane? Exp Appl Med Sci. 2024;5(2):61-71. doi:10.46871/eams.1456762
Chicago
Yılmaz, İbrahim Edhem. 2024. “The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane?”. Experimental and Applied Medical Science 5 (2): 61-71. https://doi.org/10.46871/eams.1456762.
EndNote
Yılmaz İE (June 1, 2024) The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane? Experimental and Applied Medical Science 5 2 61–71.
IEEE
[1]İ. E. Yılmaz, “The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane?”, Exp Appl Med Sci, vol. 5, no. 2, pp. 61–71, June 2024, doi: 10.46871/eams.1456762.
ISNAD
Yılmaz, İbrahim Edhem. “The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane?”. Experimental and Applied Medical Science 5/2 (June 1, 2024): 61-71. https://doi.org/10.46871/eams.1456762.
JAMA
1.Yılmaz İE. The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane? Exp Appl Med Sci. 2024;5:61–71.
MLA
Yılmaz, İbrahim Edhem. “The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane?”. Experimental and Applied Medical Science, vol. 5, no. 2, June 2024, pp. 61-71, doi:10.46871/eams.1456762.
Vancouver
1.İbrahim Edhem Yılmaz. The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane? Exp Appl Med Sci. 2024 Jun. 1;5(2):61-7. doi:10.46871/eams.1456762