Adel Alzahrani

Papers

Total Citations

H-Index

About

Adel Alzahrani’s research lies at the intersection of human-computer interaction, artificial intelligence, and digital health, with a particular focus on the usability and user experience of AI-enabled mobile health (eHealth) applications. His most cited work, “Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications” (2021, 19 citations), critically examines how AI features—such as predictive analytics and personalized recommendations—affect the usability of health apps, a domain where user trust and ease of use are paramount. By identifying key usability attributes, Alzahrani provides a framework for designing more intuitive, trustworthy, and effective AI-driven health tools. His contributions are especially timely as mobile apps become central to daily health management, from chronic disease monitoring to mental wellness. With a growing citation impact, Alzahrani’s work bridges the gap between cutting-edge AI capabilities and the practical needs of end-users, ensuring that technological advances translate into real-world benefits. His research is essential reading for developers, clinicians, and policymakers aiming to create patient-centered digital health solutions that are both powerful and accessible.