Egypt Develops Diabetic Retinopathy Screening App

Minister of Communications Amr Talaat reviewed the executive position of a number of projects implemented by the Center for Applied Innovation, most notably the development of an Egyptian application that uses artificial intelligence in diagnosing diabetic retinopathy with an accuracy of more than 95%. This is based on a field study conducted by the Center in cooperation with the Faculty of Medicine at Alexandria University, in which 10 thousand diabetic patients were examined in several governorates.

The center’s work team is currently developing the general plan for the initiative for early detection of diabetic retinopathy for one million citizens. Coordination with the Supreme Council of University Hospitals began immediately after approving the budget for implementing the campaign through university hospitals in 11 universities covering all governorates of the Republic.

The project to identify agricultural lands and types of crops planted using artificial intelligence techniques was also discussed, which is being implemented in cooperation with the Ministry of Agriculture and Land Reclamation, and aims to analyze satellite images using artificial intelligence techniques to draw the boundaries of the cultivated areas and determine the types of agricultural crops planted with them.

The first phase of the project has been concluded, as the team built an application to determine the areas, varieties, and condition of agricultural crops in a number of governorates. The next stage will cover the interactive rationalization of irrigation water utilization, early detection of pests and determining the expected productivity of crops.

Another app is for language Processing; where this development research project aims to use artificial intelligence technologies to provide technical solutions capable of understanding the spoken Arabic sentences in the Egyptian colloquial dialect and translating them into sentences spoken in other languages ​​(such as Chinese and English) and vice versa.

Talaat was also briefed on the most prominent achievements that were implemented in a supercomputer project, where the computer is qualified to deal with giant applications that requires superior computational ability and a large amount of data was launched.

The computer also includes 48 modern GPU processing units that suit the needs of artificial intelligence applications, especially those that use deep machine learning methods.