Future of artificial intelligence for the diagnosis and treatment of retinal diseases

Katalevskaya, E.A.; Katalevskiy, D.Yu.; Tyurikov, M.I.; Velieva, I.A.; Bol’shunov, A.V.

doi:10.32364/2311-7729-2022-22-1-36-43

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…Thus, in cases of moderate severity of retinal damage, the therapeutic effect of Retinalamin was detected on the 15 th day of observation, reaching its maximum by 35 days. The amplitude of the ERG b-wave in experimental animals during this period reached 80% of the background level and was almost two times higher than that in the control group [5].…”

Section: Figurementioning

confidence: 60%

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Analysis of the results of retinal peptides application in different ages of Campbell rats with Retinitis Pigmentosa

Mammadzada,

Hashimova

2023

Azerbaijan Journal of Physiology

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The work concerns studying electrophysiological parameters and, based on histological studies, morphological parameters of the retina in different age groups of Campbell rats with Retinitis Pigmentosa (RP) before and after Retinalamin treatment. 50 Campbell rats, as an experimental model of inherited RP, were used in the study. Rats were divided into two age groups, with 25 rats in each. Group I consisted of newborns up to 3 weeks, and Group II consisted of adults aged 3.5 ± 0.3 months. Retinalamin injections were given parabulbarly to all animals for 10 days. The total bioelectrical activity of the a, b, and c waves and the average value of the b-wave amplitude were studied using the electroretinography (ERG) method. Also, the thickness of the outer nuclear layer of retinal pigment epithelium cells was studied in a histological examination. Studies were conducted before the start of Retinalamin injections and in dynamics after 10 and 30 days. According to the ERG results, a decrease in the total bioelectrical activity of the rat retina and the average b-wave amplitude were already observed in 19-day-old rats. A statistically significant increase in these indicators was observed in both groups after 10 and 30 days of Retinalamin injections. Histological analysis of retinal preparations also revealed positive changes after the peptide administrations. An improvement in morphological structures and thickening of the outer nuclear layer of retinal pigment epithelial cells were noted in both groups. More significant positive dynamics were in Group I of newborn rats. Conclusion. Retinalamin treatment in newborn and adult Campbell rats with retinitis pigmentosa stabilized the processes developing in the retina. At the same time, the maximum positive effect was manifested in newborn rats.

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Section: Figurementioning

confidence: 60%

“…One of the drugs that has a retinoprotective effect is Retinalamin. This drug belongs to the group of biogenic peptides; its action is based on its ability to positively affect the metabolic processes in the retinal tissue [5,6,12].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the results of retinal peptides application in different ages of Campbell rats with Retinitis Pigmentosa

Mammadzada,

Hashimova

2023

Azerbaijan Journal of Physiology

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Exploring the possibilities of an artificial intelligence program in the diagnosis of macular diseases

Khabazova,

Ponomareva,

Loskutov

et al. 2024

Digital Diagnostics

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Background: macular diseases present a large group of pathological conditions leading to vision loss and poor vision. Early diagnosis of such changes plays an important role in the treatment tactics and comes one of the crucial factors in predicting results. Aims: study the possibilities of the artificial intelligence program in the diagnosis of the macular diseases based on the scans of structural OCT analysis. Materials and methods: the study included patients undergoing examination and treatment at the Federal Medico-Biological Agency Federal Research Clinical Center and the Moscow Regional Research Clinical Institute named after M.F. Vladimirsky. 200 eyes with the macular diseases and also eyes without macular pathology were examined. A comparative clinical analysis of structural OCT scans performed on an RTVue XR 110-2 tomograph was carried out. Retina AI software was used to analyze OCT scans. Results: during the OCT scans analysis various pathological structures of the macular were identified, and then a probable diagnosis was defined. The obtained results were compared with the diagnosis of the ophthalmologists. The sensitivity of the method was 95.16%; specificity - 97.76%; accuracy - 97.38%. Conclusions: Retina.AI allows ophthalmologists to successfully perform automated analysis of the OCT scans and identify various pathological conditions of the eye fundus.

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Clinical Validation of a Program for Diagnosing Vision-Threatening Diabetic Retinopathy Based on Automatic Segmentation Algorithms

Gabaraev,

Ponomareva,

Loskutov

et al. 2023

Oftalʹmologiâ

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Background. Diabetic retinopathy is a very common, debilitating disease that requires early diagnosis and treatment. The development of new screening methods is a priority area of medicine in recent years. Purpose: Approbation of the software (SW) based on algorithms for automatic segmentation of signs of DR “Retina AI” in clinical practice, the study of the capabilities of the software “Retina AI” in the diagnosis of vision-threatening DR.Methods. Analysis of clinical data obtained from patients undergoing diagnostics and treatment at the Federal Research and Clinical Center for Specialized Types of Medical Care and Medical Technologies of the Federal Medical and Biological Agency of Russia and the Moscow Regional Scientific Research Clinical Institute. 123 photographs of the fundus were analyzed using the RETINA.AI platform. Fundus photography was carried out using a fundus camera VISUCAM 500 (Zeiss).Results. In the process of analyzing fundus photographs with Retina AI algorithms, a high efficiency of automatic detection of vision-threatening retinopathy was revealed. The accuracy of the method in diagnosing vision-threatening DR was 95 %, sensitivity — 96.59 %, specificity — 91.4 %, ROC AUC — 0.94.Conclusion. The DR diagnostic program based on adaptive segmentation algorithms is a tool for solving the DR screening problem.

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Future of artificial intelligence for the diagnosis and treatment of retinal diseases

Cited by 4 publications

References 27 publications

Analysis of the results of retinal peptides application in different ages of Campbell rats with Retinitis Pigmentosa

Analysis of the results of retinal peptides application in different ages of Campbell rats with Retinitis Pigmentosa

Exploring the possibilities of an artificial intelligence program in the diagnosis of macular diseases

Clinical Validation of a Program for Diagnosing Vision-Threatening Diabetic Retinopathy Based on Automatic Segmentation Algorithms

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