The fourth industrial revolution in human history is artificial intelligence (AI). Deep learning (DL) is a class of cutting-edge machine learning algorithms that has aroused a lot of attention throughout the world in recent years. DL is a revolutionary AI machine learning technology that has completely transformed the AI sector. DL has demonstrated clinically acceptable diagnostic performance in detecting several retinal disorders in ophthalmology. Future study will be necessary to assess the clinical deployment and cost-effectiveness of various DL systems in clinical practise. To increase clinical acceptance of DL systems, present and future approaches must be used to unravel the ‘black-box' aspect of DL.
Title : Coenzyme Q10 for the protection of lacrimal gland against high-dose radioiodine therapy associated oxidative damage: histopathologic and tissue cytokine level assessments in an animal model
Nihat Yumusak, Department of Pathology, Turkey
Title : Glaucoma tubes and their blebs. A personal reflection on the south african connection to the development of glaucoma tube shunts and their blebs
Jeffrey Freedman, Emeritus at State University of New York, United States
Title : (Un)avoidable errors in biometry and some ideas how to overcome them
Sibylle Scholtz, Institute of Experimental Ophthalmology, Germany
Title : A comparative assessment of dry eye disease among the farmers and office going people
Jyoti Bala Pandre , Aurobindo Nethralaya, India
Title : Rare and interesting case of choroidal melanoma presenting as a case of a congestive glaucoma left eye in a 55 years old male patient
Gowhar Ahmad, Florence Hospital multi-speciality center chanapora Srinagar Kashmir, India
Title : To evaluate the safety and efficacy of half fluence photodynamic therapy for symptomatic peripapillary circumscribed choroidal hemangiomas (CCHS)
Prabhjot Singh, Armed Forces Medical College, India