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About

Ryan Alturki is a researcher at the forefront of integrating artificial intelligence and the Internet of Things (IoT) into healthcare and autonomous systems. His work centers on enhancing the usability and intelligence of AI-enabled eHealth mobile applications, a critical area as digital health tools become ubiquitous. His most cited paper, "Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications" (2021, 19 citations), provides foundational insights into how user experience can be optimized in AI-driven health apps, addressing a key barrier to their adoption. Alturki also advances computational intelligence for IoT-based autonomous systems, proposing novel prediction and communication mechanisms that improve system reliability and responsiveness. Notably, his 2022 paper on a smart IoT device for preliminary dental examinations demonstrates a practical, pandemic-responsive innovation, enabling safer, remote dental screenings. With a growing citation record and a focus on translating complex AI and IoT concepts into tangible health solutions, Alturki is making significant contributions to the future of connected, intelligent, and user-centered medical technology.