Iontophoretic corneal collagen cross-linking (I-CXL) is non-inferior to epi-off CXL for stopping the progression of keratoconus in its early stages with a higher degree of safety for the patients and a faster recovery of VA.

Since its introduction in 1959, artificial intelligence technology has evolved rapidly and helped benefit research, industries and medicine. Deep learning, as a process of artificial intelligence (AI) is used in ophthalmology for data analysis, segmentation, automated diagnosis and possible outcome predictions. The association of deep learning and optical coherence tomography (OCT) technologies has proven reliable for the detection of retinal diseases and improving the diagnostic performance of the eye's posterior segment diseases. This review explored the possibility of implementing and using AI in establishing the diagnosis of retinal disorders. The benefits and limitations of AI in the field of retinal disease medical management were investigated by analyzing the most recent literature data. Furthermore, the future trends of AI involvement in ophthalmology were analyzed, as AI will be part of the decision-making regarding the scientific investigation, diagnosis and therapeutic management.

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Gelatin/chitosan particles suitable for application in ocular drug administration were prepared by a two-step cross-linking process performed in an emulsion-phase separation system. The particles were characterized by scanning electron microscopy and laser diffractometry, and the diameters were 0.202—4.596 µm. The microparticles pH-dependent behavior was monitored by their mean diameter changes in aqueous environment. Adrenalin was drug used to study loading and release characteristics. The prepared particles were nontoxic, with the DL50 values of 6.9—8.19 g/kg body mass. The in vivo biocompatibility tests consisted of subcutaneous administration of a microparticle suspension in physiological serum followed by morpho histological analysis of the implantation site. The in vivo adrenalin ocular delivery was tested on both animals and a voluntary human patient to determine the adrenalin action and by tears. The particles showed good adherent properties without irritation to the patient; adrenalin was released cleared the ocular congestion.

Optical neuropathies are neuro-ophthalmologic disorders, the main symptoms of which are the decrease of visual acuity and the alteration of the color vision. Optical coherence tomography has been one of the most important innovations in ophthalmology, which offered the possibility to analyze specific structures of the retina. Optical coherence tomography performs in vivo, real-time, noncontact scanning and provides cross-sectional and volumetric images with a resolution approaching that of histology. Optical coherence tomography offers the opportunity to study neurological diseases in an objective and non-invasive manner. The measurements of retinal nerve fiber layer can be an objective measurement of nerve swelling or nerve atrophy. By analyzing the ganglion cell complex, optical coherence tomography can help detect early axonal damage and may predict the visual outcome. It can be useful for diagnosis and follow-up of optic nerve and chiasmal compressive diseases. Furthermore, optical coherence tomography is useful in patients with multiple sclerosis in distinguishing macular disease from optic neuritis and in monitoring the treatment. Multiple studies and clinical observations support the importance of optical coherence tomography in the diagnosis, treatment, and follow-up of optic neuropathies.Abbreviations: OCT = optical coherence tomography, VA = visual acuity, RNFL = retinal nerve fiber layer, GCL = ganglion cells layer, MS = multiple sclerosis, ON = optic neuropathy, NAION = non-arteritic ischemic anterior optic neuropathy, LHON = Leber hereditary optic neuropathy, RE = right eye, LE = left eye