Artificial intelligence in ophthalmology: the present and the future
The medical industry is undergoing an active digital transformation, including the creation of electronic databases, cloud security systems, mobile health monitoring devices, and telemedicine tools. Artificial intelligence (AI), one of the most important technological achievements of the last decade...
| Príomhchruthaitheoirí: | , , , |
|---|---|
| Formáid: | Alt |
| Teanga: | Russian |
| Foilsithe / Cruthaithe: |
Real Time Ltd
2024-07-01
|
| Sraith: | Российский офтальмологический журнал |
| Ábhair: | |
| Rochtain ar líne: | https://roj.igb.ru/jour/article/view/1502 |
| _version_ | 1826569819126759424 |
|---|---|
| author | V. V. Neroev O. V. Zaytseva S. Yu. Petrov A. A. Bragin |
| author_facet | V. V. Neroev O. V. Zaytseva S. Yu. Petrov A. A. Bragin |
| author_sort | V. V. Neroev |
| collection | DOAJ |
| description | The medical industry is undergoing an active digital transformation, including the creation of electronic databases, cloud security systems, mobile health monitoring devices, and telemedicine tools. Artificial intelligence (AI), one of the most important technological achievements of the last decade, is gradually gaining momentum in various areas of practical medicine. The cutting edge of AI, neural networks, offers promising approaches to the improvement of clinical examination quality. The review presents data of studies focusing on the use of AI tools in the diagnosis of the most common ophthalmic diseases: diabetic retinopathy, macular degeneration, retinopathy of prematurity, glaucoma, cataracts, and ophthalmic oncology. We discuss both the advantages of neural networks in the diagnosis and monitoring of eye diseases, and outline the difficulties of their implementation, including ethical and legal conflicts. |
| first_indexed | 2025-03-14T11:45:23Z |
| format | Article |
| id | doaj.art-c82fa68b5bfd4b3ea1c20be71d2c4242 |
| institution | Directory Open Access Journal |
| issn | 2072-0076 2587-5760 |
| language | Russian |
| last_indexed | 2025-03-14T11:45:23Z |
| publishDate | 2024-07-01 |
| publisher | Real Time Ltd |
| record_format | Article |
| series | Российский офтальмологический журнал |
| spelling | doaj.art-c82fa68b5bfd4b3ea1c20be71d2c42422025-03-02T09:51:32ZrusReal Time LtdРоссийский офтальмологический журнал2072-00762587-57602024-07-0117213514110.21516/2072-0076-2024-17-2-135-141699Artificial intelligence in ophthalmology: the present and the futureV. V. Neroev0O. V. Zaytseva1S. Yu. Petrov2A. A. Bragin3Helmholtz National Medical Research Center of Eye Diseases; A.I. Evdokimov Moscow State University of Medicine and DentistryHelmholtz National Medical Research Center of Eye Diseases; A.I. Evdokimov Moscow State University of Medicine and DentistryHelmholtz National Medical Research Center of Eye DiseasesHelmholtz National Medical Research Center of Eye DiseasesThe medical industry is undergoing an active digital transformation, including the creation of electronic databases, cloud security systems, mobile health monitoring devices, and telemedicine tools. Artificial intelligence (AI), one of the most important technological achievements of the last decade, is gradually gaining momentum in various areas of practical medicine. The cutting edge of AI, neural networks, offers promising approaches to the improvement of clinical examination quality. The review presents data of studies focusing on the use of AI tools in the diagnosis of the most common ophthalmic diseases: diabetic retinopathy, macular degeneration, retinopathy of prematurity, glaucoma, cataracts, and ophthalmic oncology. We discuss both the advantages of neural networks in the diagnosis and monitoring of eye diseases, and outline the difficulties of their implementation, including ethical and legal conflicts.https://roj.igb.ru/jour/article/view/1502artificial intelligenceneural networksdiagnosticsmonitoringdiabetic retinopathymacular degenerationretinopathy of prematurityglaucoma |
| spellingShingle | V. V. Neroev O. V. Zaytseva S. Yu. Petrov A. A. Bragin Artificial intelligence in ophthalmology: the present and the future Российский офтальмологический журнал artificial intelligence neural networks diagnostics monitoring diabetic retinopathy macular degeneration retinopathy of prematurity glaucoma |
| title | Artificial intelligence in ophthalmology: the present and the future |
| title_full | Artificial intelligence in ophthalmology: the present and the future |
| title_fullStr | Artificial intelligence in ophthalmology: the present and the future |
| title_full_unstemmed | Artificial intelligence in ophthalmology: the present and the future |
| title_short | Artificial intelligence in ophthalmology: the present and the future |
| title_sort | artificial intelligence in ophthalmology the present and the future |
| topic | artificial intelligence neural networks diagnostics monitoring diabetic retinopathy macular degeneration retinopathy of prematurity glaucoma |
| url | https://roj.igb.ru/jour/article/view/1502 |
| work_keys_str_mv | AT vvneroev artificialintelligenceinophthalmologythepresentandthefuture AT ovzaytseva artificialintelligenceinophthalmologythepresentandthefuture AT syupetrov artificialintelligenceinophthalmologythepresentandthefuture AT aabragin artificialintelligenceinophthalmologythepresentandthefuture |