Acta Scientific Ophthalmology (ISSN: 2582-3191)

Research Article Volume 6 Issue 7

Ophthalmology and the Benefits of Using Artificial Intelligence: A Literature Review

Ana Clara Coelho Caetano1*, Bianca Pessoa Macedo1, Denyse de Oliveira Moraes Saunders1, Guilherme Pinheiro Diógenes1, Liana Maria Feitosa Carvalho1, Luana Maria Ramalho Castro Siqueira1, Paulo Victor Castro de Oliveira1 and Juliana de Lucena Martins Ferreira2

1Student of the Unichristus Medical School, Brazil
2Professor at the Unichristus Medical School, Brazil

*Corresponding Author: Ana Clara Coelho Caetano, Student of the Unichristus Medical School, Brazil.

Received: May 18, 2023; Published: June 12, 2023

Abstract

Artificial intelligence (AI) is a technology that can help in the analysis of therapeutic procedures by improving the speed, efficiency and accuracy of eye imaging. It is often characterized by the replacement of medical presence by systems such as "Deep Learning" and "Machine Learning", since it has the benefit of cost reduction and shorter time to obtain imaging results. Given this, artificial intelligence has emerged as a promising resource for ophthalmologists and patients in the screening process. The aim of the present study was to seek foundations on ophthalmological conditions with the use of AI, as well as to evaluate the effectiveness of its use compared to the physical presence of medical professionals. A literary search was performed based on the descriptor: "{(Ophthalmology)} AND {(Artificial intelligence)}" in the PubMed and Science Direct databases. In total, 1137 articles were found, of which, after using filters and exclusion criteria, 25 articles were selected that related the terms Artificial Intelligence and Ophthalmology and met the objective of this review. Artificial intelligence is being widely used in ophthalmology, proving to be efficient in several ways, such as in the diagnosis and treatment of different pathologies; for example, glaucoma, cataracts, keratoconus and diabetic retinopathy; in ophthalmic surgeries; in the mapping of the cornea and retina. Although the use of AI in ophthalmology has several advantages, it can be stated that there are still limitations regarding its application, such as the lack of qualification of doctors for the use of this tool, the negative perspective related to the unemployment of these professionals - being replaced by the machine - and due to the labor and bioethical situation of the doctor-patient relationship, the presence of a legal apparatus functioning as a brake on the use of Artificial Intelligence in medicine.

 Keywords: Artificial Intelligence; Health Technology; Ophthalmology; Anterior Segment of the Eye; Posterior Segment of the Eye

References

  1. BENET David and PELLICER-VALERO Oscar J. “Artificial intelligence: the unstoppable revolution in ophthalmology”. Survey of Ophthalmology1 (2022): 252-270.
  2. ESENGÖNÜL Meltem., et al. “A Systematic Review of Artificial Intelligence Applications Used for Inherited Retinal Disease Management”. Medicina4 (2022): 504.
  3. KAPOOR Rahul., et al. “The current state of artificial intelligence in ophthalmology”. Survey of Ophthalmology 2 (2019): 233-240.
  4. CATANIA Louis J and NICOLITZ Ernst. “Artificial intelligence and its applications in vision and eye care”. Advances in Ophthalmology and Optometry1 (2018): 21-38.
  5. TING Daniel SW., et al. “Deep learning in ophthalmology: the technical and clinical considerations”. Progress in Retinal and Eye Research 72 (2019): 100759.
  6. TING Daniel Shu Wei., et al. “Artificial intelligence and deep learning in ophthalmology”. British Journal of Ophthalmology 2 (2019): 167-175.
  7. TSENG Rachel Marjorie Wei Wen., et al. “Considerations for Artificial Intelligence Real-World Implementation in Ophthalmology: Providers’ and Patients’ Perspectives”. The Asia-Pacific Journal of Ophthalmology 3 (2021): 299-306.
  8. BALYEN Lokman and PETO Tunde. “Promising artificial intelligence-machine learning-deep learning algorithms in ophthalmology”. The Asia-Pacific Journal of Ophthalmology3 (2019): 264-272.
  9. BOURCIER Tristan., et al. “Robot-assisted simulated cataract surgery”. Journal of Cataract and Refractive Surgery 4 (2017): 552-557.
  10. SIDDIQUI Aazim A., et al. “Artificial intelligence in cornea, refractive, and cataract surgery”. Current Opinion in Ophthalmology 4 (2020): 253-260.
  11. RAMPAT Radhika., et al. “Artificial intelligence in cornea, refractive surgery, and cataract: basic principles, clinical applications, and future directions”. Asia-Pacific Journal of Ophthalmology (Philadelphia, Pa.)3 (2021): 268.
  12. MISHRA Kapil and LENG Theodore. “Artificial intelligence and ophthalmic surgery”. Current Opinion in Ophthalmology5 (2021): 425-430.
  13. BENET David and PELLICER-VALERO Oscar J. “Artificial intelligence: the unstoppable revolution in ophthalmology”. Survey of Ophthalmology1 (2022): 252-270.
  14. AL-ASWAD Lama A., et al. “Artificial Intelligence for Glaucoma: Creating and Implementing Artificial Intelligence for Disease Detection and Progression”. Ophthalmology Glaucoma (2022).
  15. SCHUMAN Joel S., et al. “A Case for the Use of Artificial Intelligence in Glaucoma Assessment”. Ophthalmology Glaucoma3 (2022): e3-e13.
  16. COAN Lauren., et al. “Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review”. Survey of Ophthalmology (2022).
  17. BUNOD R., et al. “Artificial intelligence and glaucoma: A literature review”. Journal Francais D'ophtalmologie (2022).
  18. TRINH Minh., et al. “Artificial Intelligence in Retina”. Advances in Ophthalmology and Optometry 6 (2021): 175-185.
  19. GARGEYA Rishab and LENG Theodore. “Automated identification of diabetic retinopathy using deep learning”. Ophthalmology7 (2017): 962-969.
  20. MORARU Andreea Dana., et al. “Artificial intelligence and deep learning in ophthalmology-present and future”. Experimental and Therapeutic Medicine4 (2020): 3469-3473.
  21. SORRENTINO Francesco S., et al. “Application of artificial intelligence in targeting retinal diseases”. Current Drug Targets12 (2020): 1208-1215.
  22. ATTIKU Yamini., et al. “Current status and future possibilities of retinal imaging in diabetic retinopathy care applicable to low-and medium-income countries”. Indian Journal of Ophthalmology11 (2021): 2968.
  23. LINDEGGER Daniel Josef., et al. “Evolution and Applications of Artificial Intelligence to Cataract Surgery”. Ophthalmology Science3 (2022).
  24. TOGNETTO Daniele., et al. “Artificial intelligence applications and cataract management: A systematic review”. Survey of Ophthalmology (2021).
  25. TAHVILDARI Maryam., et al. “Application of artificial intelligence in the diagnosis and management of corneal diseases”. In: Seminars in Ophthalmology. Taylor and Francis, (2021): 641-648.
  26. LUCENA Abrahão Rocha., et al. “Development of an application for providing corneal topography reports based on artificial intelligence”. Arquivos Brasileiros de Oftalmologia 85 (2021): 351-358.
  27. LI Zhongwen., et al. “Comparison of deep learning systems and cornea specialists in detecting corneal diseases from low-quality images”. iScience11 (2021): 103317.

Citation

Citation: Ana Clara Coelho Caetano., et al. “Ophthalmology and the Benefits of Using Artificial Intelligence: A Literature Review".Acta Scientific Ophthalmology 6.7 (2023): 06-12.

Copyright

Copyright: © 2023 Ana Clara Coelho Caetano., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days
ISI- IF1.042
JCR- IF0.24

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