A neural network model for predicting the effectiveness of treatment in patients with neovascular glaucoma associated with diabetes mellitus
Neural network-based prediction of transscleral cyclophotocoagulation effectiveness for patients with diabetic neovascular glaucoma allows for a sufficiently accurate forecast of treatment success with a probability of 92.9%. We believe the in-time correction of systemic inflammation and intraocular blood circulation can significantly reduce intraocular pressure, preserve visual acuity, and improve the quality of life in patients with diabetic NVG after TSC CPC. Further research is required to support these findings.
Authors
- Valeriu Cușnir (ORCID: https://orcid.org/0000-0001-8222-5585)
- Lilia Dumbrăveanu (ORCID: https://orcid.org/0000-0001-8649-6489)
- Volodymyr Viktorovych Vychuzhanin
- Л. М. Величко
- O. Zadorozhnyy (ORCID: https://orcid.org/0000-0003-0125-2456)
- Andrii Rostyslavovich Korol
- N. Khramenko (ORCID: https://orcid.org/0009-0000-2777-037X)
- Vitalie Valeriu Cușnir
- Olga Volodymyrivna Guzun
Institutions
- Odessa National Polytechnic University (UA)
- Nicolae Testemițanu State University of Medicine and Pharmacy (MD)
- Filatov Institute of Eye Diseases and Tissue Therapy of the National Academy of Medical Sciences of Ukraine (UA)
Publication Details
- Journal
- Romanian Journal of Ophthalmology
- Published
- 2024-10-07
- DOI
- https://doi.org/10.22336/rjo.2024.53
- Citations
- 5
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.02