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One of the fields of medicine in which artificial intelligence techniques have made progress is ophthalmology. Artificial intelligence (A.I.) applications for preventing vision loss in eye illnesses have developed quickly. Artificial intelligence uses computer programs to execute various activities while mimicking human thought. Machine learning techniques are frequently utilized in the field of ophthalmology. Ophthalmology holds great promise for advancing artificial intelligence, thanks to various digital methods like optical coherence tomography (OCT) and visual field testing. Artificial intelligence has been used in ophthalmology to treat eye conditions impairing vision, including macular holes (M.H.), age-related macular degeneration (AMD), diabetic retinopathy, glaucoma, and cataracts. The more common occurrence of these diseases has led to artificial intelligence development. It is important to get annual screenings to detect eye diseases such as glaucoma, diabetic retinopathy, and age-related macular degeneration. These conditions can cause decreased visual acuity, and it is necessary to identify any changes or progression in the disease to receive appropriate treatment. Numerous studies have been conducted based on artificial intelligence using different algorithms to improve and simplify current medical practice and for early detection of eye diseases to prevent vision loss. Abbreviations: AI = artificial intelligence, AMD = age-related macular degeneration, ANN = artificial neural networks, AAO = American Academy of Ophthalmology, CNN = convolutional neural network, DL = deep learning, DVP = deep vascular plexus, FDA = Food and Drug Administration, GCL = ganglion cell layer, IDP = Iowa Detection Program, ML = Machine learning techniques, MH = macular holes, MTANN = massive training of the artificial neural network, NLP = natural language processing methods, OCT = optical coherence tomography, RBS = Radial Basis Function, RNFL = nerve fiber layer, ROP = Retinopathy of Prematurity, SAP = standard automated perimetry, SVP = Superficial vascular plexus, U.S. = United States, VEGF = vascular endothelial growth factor., (#x00A9; The Authors.Romanian Society of Ophthalmology.)

Lipofuscin is an intracellular aging pigment with fluorescent properties, found in retinal pigment epithelium cells of the eye. It is the main fluorophore used in fundus autofluorescence imaging techniques to diagnose, describe, and follow retinal disease. Lipofuscin forms by incomplete lysosomal degradation of cellular material previously subjected to oxidative changes. A2E is the most studied fluorescent component of lipofuscin, but most of its composition remains unknown. Lipofuscin is photoreactive, generating reactive oxygen species, which may explain its role in disease development. Further knowledge is needed concerning lipofuscin genesis, biochemical composition, fluorescent compounds, and role in pathogenesis of retinal degenerative disease., (© The Authors.Romanian Society of Ophthalmology.)

The present paper is an introduction to this category of therapy, the injection of botulinum toxin into blepharospasm and, at the same time, an attempt to familiarize our readers with this concept. Our activity in this field started in 2014; the favorable results we have obtained since then have made us write this article. Abbreviations: BEB = Abnormal Benign Essential Blepharospasm, TXB = Botulinum Toxin.