Potential Benefits and Opportunities of AI-Enabled Software Programs for Opticians: A study in Türkiye

Year 2024, Volume: 7 Issue: 2, 129 - 136, 18.12.2024

Fermin Ak , Mehmet Hanifi Kebiroglu

https://doi.org/10.54565/jphcfum.1506552

Abstract

The utilization of deep learning models and artificial intelligence (AI) in optical projects has garnered significant international attention in recent years. The latest AI technology is believed to revolve around deep learning models. In practical terms, deep learning algorithms can be employed to detect, measure, and describe clinical characteristics of ophthalmic optics.
Advances in optics, scientific foundations, and technological applications have rendered it a versatile basis for problem-solving in manufacturing, basic research, and engineering applications, including quality control, non-destructive testing, experimental mechanics, and biomedicine. Deep learning, a branch of machine learning, has recently emerged as a potent tool for addressing challenges by learning from data. This emergency is largely attributed to the availability of extensive datasets, advanced computing power, rapid data storage, and proprietary deep neural network training techniques.
By adding features to existing interfaces of the Medula Optical Provision System, ÜTS (Product Tracking System), and other assistive optical package programs used in Türkiye, the AI-enabled enhancement of research on eye health and access to detailed information about the supplied products will effectively increase the service quality in optical stores. Through artificial intelligence, it will also aid in problem-solving in optic and ophthalmic areas.

Keywords

Artificial Intelligence (AI), Deep Learning, Package Program Software in Optics, Medula-Optical Provision System, ÜTS.

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