The role of artificial intelligence in modern ophthalmology

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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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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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