Aplicațiile inteligenței artificiale în oftalmologie

Rezumat

Artificial intelligence tools, and especially artificial neural networks, are increasingly involved in the diagnosis and personalized management of ophthalmic diseases. OCT images are used for early diagnosis, monitoring and management of retinal diseases such as diabetic macular edema (EMD) and age-related macular degeneration (DMLV). Automatic reading of OCT has had promising results in EMD and in identifying exudative forms of DMLV. The most common use of neural networks in ophthalmology has been in early diagnosis of glaucoma, when there is doubt about the diagnosis. Neural networks have played an important role in determining the need for early antiglaucoma therapy to prevent disease progression.
Numerous studies in the literature demonstrate the successful use of these tools of artificial intelligence in ophthalmology, in directions such as: assessment of visual field, optic nerve, retinal nerve fiber layer, thus providing better accuracy in identifying progression in glaucoma. and retinal changes in diabetes.