Future of artificial intelligence for the diagnosis and treatment of retinal diseases
<p> <b>E.A. Katalevskaya<sup>1</sup>, D.Yu. Katalevskiy<sup>1,2</sup>, M.I. Tyurikov<sup>1,3</sup>, I.A. Velieva<sup>4</sup>, A.V. Bol’shunov<sup>4</sup></b> </p> <p> <b><sup>1</sup>LLC &quo...
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| Format: | Article |
| Language: | Russian |
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Prime-Media
2022-02-01
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| Series: | РМЖ "Клиническая офтальмология" |
| Online Access: | http://clinopht.com/upload/iblock/a33/a3394a8e37324074f3fa9d2f4016ef29.pdf |
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| author | E.A. Katalevskaya D.Yu. Katalevskiy M.I. Tyurikov I.A. Velieva A.V. Bol’shunov |
| author_facet | E.A. Katalevskaya D.Yu. Katalevskiy M.I. Tyurikov I.A. Velieva A.V. Bol’shunov |
| author_sort | E.A. Katalevskaya |
| collection | DOAJ |
| description | <p>
<b>E.A. Katalevskaya<sup>1</sup>, D.Yu. Katalevskiy<sup>1,2</sup>, M.I. Tyurikov<sup>1,3</sup>, I.A. Velieva<sup>4</sup>, A.V. Bol’shunov<sup>4</sup></b>
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<b><sup>1</sup>LLC "Digital Vision Solutions", Moscow, Russian Federation</b>
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<b><sup>2</sup>Russian Presidential Academy of National Economy and Public Administration (RANEPA), </b><b>Moscow, Russian Federation</b>
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<b><sup>3</sup>Nizhny Novgorod State Technical University named after R.E. Alekseev, Nizhny Novgorod, </b><b>Russian Federation</b>
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<b><sup>4</sup>Scientific Research Institute of Eye Diseases, Moscow, Russian Federation</b>
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<i>Artificial intelligence (AI) is a branch of informatics concerned with developing programs capable of imitating certain functions of the human mind. AI technologies are applied in different areas of medicine, including ophthalmology. Acquisition and analysis of images are critical for diagnosing and treating ophthalmic disorders, particularly retinal diseases. This paper reviews the use of AI algorithms for diagnosing and treating retinal disorders. Modern AI algorithms are trained to analyze images obtained by digital retinal photography, optical coherence tomography, and optical coherence tomography angiography. The most promising AI algorithms are those used for screening and treating chronic diseases (e.g., diabetic retinopathy, diabetic macular edema, age-related macular degeneration) to provide a personalized management strategy. Therefore, developing standards regulating AI technology application and standards providing a reliable evaluation of safety, accuracy, and reliability of AI-based system functioning is particularly important for healthcare.</i>
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<i><b>Keywords</b>: artificial intelligence, computer vision, ophthalmic screening, diabetic retinopathy, diabetic macular edema, age-related macular degeneration.</i>
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<i><b>For citation:</b> Katalevskaya E.A., Katalevskiy D.Yu., Tyurikov M.I. et al. Future of artificial intelligence for the diagnosis and treatment of retinal diseases. Russian Journal of Clinical Ophthalmology. 2022;22(1):36–43 (in Russ.). DOI: 10.32364/2311-7729-2022-22-1-36-43.</i>
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| format | Article |
| id | doaj-art-b6393d052b534b96b56a5a66c6f73074 |
| institution | Kabale University |
| issn | 2311-7729 2619-1571 |
| language | Russian |
| publishDate | 2022-02-01 |
| publisher | Prime-Media |
| record_format | Article |
| series | РМЖ "Клиническая офтальмология" |
| spelling | doaj-art-b6393d052b534b96b56a5a66c6f730742025-01-16T09:39:37ZrusPrime-MediaРМЖ "Клиническая офтальмология"2311-77292619-15712022-02-0122131430Future of artificial intelligence for the diagnosis and treatment of retinal diseasesE.A. Katalevskaya0D.Yu. Katalevskiy1M.I. Tyurikov2I.A. Velieva3A.V. Bol’shunov4Russian Journal of Clinical Ophthalmology, Publisher of «Medicina-Inform» Address for correspondence: Russia, 105064, Moscow, P.O. Box 399Russian Journal of Clinical Ophthalmology, Publisher of «Medicina-Inform» Address for correspondence: Russia, 105064, Moscow, P.O. Box 399Russian Journal of Clinical Ophthalmology, Publisher of «Medicina-Inform» Address for correspondence: Russia, 105064, Moscow, P.O. Box 399Russian Journal of Clinical Ophthalmology, Publisher of «Medicina-Inform» Address for correspondence: Russia, 105064, Moscow, P.O. Box 399Russian Journal of Clinical Ophthalmology, Publisher of «Medicina-Inform» Address for correspondence: Russia, 105064, Moscow, P.O. Box 399<p> <b>E.A. Katalevskaya<sup>1</sup>, D.Yu. Katalevskiy<sup>1,2</sup>, M.I. Tyurikov<sup>1,3</sup>, I.A. Velieva<sup>4</sup>, A.V. Bol’shunov<sup>4</sup></b> </p> <p> <b><sup>1</sup>LLC "Digital Vision Solutions", Moscow, Russian Federation</b> </p> <p> <b><sup>2</sup>Russian Presidential Academy of National Economy and Public Administration (RANEPA), </b><b>Moscow, Russian Federation</b> </p> <p> <b><sup>3</sup>Nizhny Novgorod State Technical University named after R.E. Alekseev, Nizhny Novgorod, </b><b>Russian Federation</b> </p> <p> <b><sup>4</sup>Scientific Research Institute of Eye Diseases, Moscow, Russian Federation</b> </p> <p> <i>Artificial intelligence (AI) is a branch of informatics concerned with developing programs capable of imitating certain functions of the human mind. AI technologies are applied in different areas of medicine, including ophthalmology. Acquisition and analysis of images are critical for diagnosing and treating ophthalmic disorders, particularly retinal diseases. This paper reviews the use of AI algorithms for diagnosing and treating retinal disorders. Modern AI algorithms are trained to analyze images obtained by digital retinal photography, optical coherence tomography, and optical coherence tomography angiography. The most promising AI algorithms are those used for screening and treating chronic diseases (e.g., diabetic retinopathy, diabetic macular edema, age-related macular degeneration) to provide a personalized management strategy. Therefore, developing standards regulating AI technology application and standards providing a reliable evaluation of safety, accuracy, and reliability of AI-based system functioning is particularly important for healthcare.</i> </p> <p> <i><b>Keywords</b>: artificial intelligence, computer vision, ophthalmic screening, diabetic retinopathy, diabetic macular edema, age-related macular degeneration.</i> </p> <p> <i><b>For citation:</b> Katalevskaya E.A., Katalevskiy D.Yu., Tyurikov M.I. et al. Future of artificial intelligence for the diagnosis and treatment of retinal diseases. Russian Journal of Clinical Ophthalmology. 2022;22(1):36–43 (in Russ.). DOI: 10.32364/2311-7729-2022-22-1-36-43.</i> </p>http://clinopht.com/upload/iblock/a33/a3394a8e37324074f3fa9d2f4016ef29.pdf |
| spellingShingle | E.A. Katalevskaya D.Yu. Katalevskiy M.I. Tyurikov I.A. Velieva A.V. Bol’shunov Future of artificial intelligence for the diagnosis and treatment of retinal diseases РМЖ "Клиническая офтальмология" |
| title | Future of artificial intelligence for the diagnosis and treatment of retinal diseases |
| title_full | Future of artificial intelligence for the diagnosis and treatment of retinal diseases |
| title_fullStr | Future of artificial intelligence for the diagnosis and treatment of retinal diseases |
| title_full_unstemmed | Future of artificial intelligence for the diagnosis and treatment of retinal diseases |
| title_short | Future of artificial intelligence for the diagnosis and treatment of retinal diseases |
| title_sort | future of artificial intelligence for the diagnosis and treatment of retinal diseases |
| url | http://clinopht.com/upload/iblock/a33/a3394a8e37324074f3fa9d2f4016ef29.pdf |
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