du Introduces Innovative Marketplace for AI-Powered eHealth Solutions at GITEX Technology Week 2019

du Introduces Innovative Marketplace for AI-Powered eHealth Solutions at GITEX Technology Week 2019

In pursuit of their commitment to make the United Arab Emirates the happiest country in the world, du, from Emirates Integrated Telecommunications Company (EITC), has unveiled three innovative Artificial Intelligence (AI) eHealth solutions during GITEX Technology Week.

Collaborating with three best-in-class AI companies, Infermedica, Infervision and Enbisys, du is showcasing unique AI-enabled healthcare applications at GITEX 2019.

du Introduces Innovative Marketplace for AI-Powered eHealth Solutions at GITEX Technology Week 2019

“AI holds unlimited potential for serving breakthrough applications across all industries to solve some of society’s most confounding issues and challenges. The successful integration of AI technology in the UAE health-tech sector is set to have a profound impact on removing the current obstacles for addressing and solving patient wellbeing and physician efficiency. du is proud to be unlocking AI’s full potential to uncover new customer-centric use cases while empowering the nation on its digital transformation journey.” said Farid Faraidooni, Deputy CEO – Enterprise, EITC when asked about the use of AI in health solutions.

AI Diagnostic Imaging – Diabetic Retinopathy Screening by Enbisys’

Visitors to du’s Diabetic Retinopathy Screening solution showcase can experience first-hand how easy it is to upload images and detect eye abnormalities during the live demonstration of the platform. This solution, formed with the partnership with Enbisys, provides retinal images of both eyes, captured using a compatible fundus camera, which are then uploaded to a secure cloud-based platform for processing. The AI system then automatically analyses the images and returns the result in less than one minute. The solution then provides a report containing the DR screening outcome, a clear indication of image quality, DR severity level, and retinal images.