The role of artificial intelligence in modern ophthalmology
- Authors: Mamedova S.S.1, Karimova A.I.2, Galieva A.F.2, Malkhanova M.A.3, Polyankina S.S.2, Kuchumova A.I.2, Tarasova Y.Y.2, Tsuan D.U.1, Klets O.V.1, Gerbutova V.N.1, Olenichev A.V.2, Ushakova E.O.2, Minnikhalilova A.K.2
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Affiliations:
- Rostov State Medical University
- Bashkir State Medical University
- Academician Pavlov First Saint Petersburg State Medical University
- Issue: Vol 17, No 1 (2024)
- Pages: 103-113
- Section: Reviews
- URL: https://journals.rcsi.science/ov/article/view/255198
- DOI: https://doi.org/10.17816/OV625627
- ID: 255198
Cite item
Abstract
Currently, artificial intelligence is actively being introduced into various spheres of life, and medicine is no exception. In ophthalmology, the use of artificial intelligence is very promising, given that the diagnosis and therapeutic monitoring of eye diseases often depend heavily on the correct interpretation of images. The use of artificial intelligence in ophthalmology focuses on eye diseases that lead to vision loss, such as age-related macular degeneration, diabetic retinopathy, glaucoma and cataract. Over the past few years, artificial intelligence has reached tremendous successes in the practice of ophthalmology. Many studies have shown that artificial intelligence performance is equal to and even exceeds the capabilities of ophthalmologists in many diagnostic and prognostic tasks. However, there is still a lot of work to be done before introducing artificial intelligence into routine clinical practice. Issues such as real-world performance, generalizability, and interpretability of artificial intelligence systems are still poorly understood and will require more attention in future research. Most artificial intelligence-based systems are used in developed countries, and some require further study. High costs and a shortage in doctors and equipment in some regions of the Russian Federation and rural areas make it difficult to screen for eye diseases. Although the field of artificial intelligence is underdeveloped, we hope that artificial intelligence will play an important role in the future of ophthalmology by making healthcare more efficient, accurate and accessible, especially in regions where staffing problems exist.
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##article.viewOnOriginalSite##About the authors
Sabina S. Mamedova
Rostov State Medical University
Author for correspondence.
Email: neurosurg@bk.ru
ORCID iD: 0009-0007-7485-4710
Russian Federation, 29 Nakhichevanskii lane, Rostov-on-Don, 344022
Alsu I. Karimova
Bashkir State Medical University
Email: akarimova20000@gmail.com
ORCID iD: 0009-0002-7244-5669
Russian Federation, Ufa
Adelia F. Galieva
Bashkir State Medical University
Email: adelia_144@mail.ru
ORCID iD: 0009-0008-7369-1064
Russian Federation, Ufa
Maria A. Malkhanova
Academician Pavlov First Saint Petersburg State Medical University
Email: mariamalhanova00971@gmail.com
ORCID iD: 0009-0004-4860-0803
Russian Federation, Saint Petersburg
Sofya S. Polyankina
Bashkir State Medical University
Email: s.polyankina@bk.ru
ORCID iD: 0009-0003-6025-1426
Russian Federation, Ufa
Aigul I. Kuchumova
Bashkir State Medical University
Email: aigelikaaa@gmail.com
ORCID iD: 0009-0002-5243-4364
Russian Federation, Ufa
Yana Ya. Tarasova
Bashkir State Medical University
Email: tarasooova.02@gmail.com
ORCID iD: 0009-0003-4139-5539
Russian Federation, Ufa
Dmitry U. Tsuan
Rostov State Medical University
Email: dimka200131@gmail.com
ORCID iD: 0009-0000-6657-3846
Russian Federation, 29 Nakhichevanskii lane, Rostov-on-Don, 344022
Olga V. Klets
Rostov State Medical University
Email: klets_olya@mail.ru
ORCID iD: 0009-0009-9507-0901
Russian Federation, 29 Nakhichevanskii lane, Rostov-on-Don, 344022
Veronika N. Gerbutova
Rostov State Medical University
Email: veronika628256@gmail.com
ORCID iD: 0009-0000-9922-8766
Russian Federation, 29 Nakhichevanskii lane, Rostov-on-Don, 344022
Andrey V. Olenichev
Bashkir State Medical University
Email: a.olenichev@inbox.ru
ORCID iD: 0009-0000-7677-5329
Russian Federation, Ufa
Eliza O. Ushakova
Bashkir State Medical University
Email: a.olenichev@inbox.ru
ORCID iD: 0009-0000-8178-8685
Russian Federation, Ufa
Aigul K. Minnikhalilova
Bashkir State Medical University
Email: aigul2ka837857@gmail.com
ORCID iD: 0009-0001-8068-6078
Russian Federation, Ufa
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