IEEE IoT Magazine · May 2026
A Secure Multi-Agentic Intelligent Internet of Medical Things Framework for Multimodal Dyslexia Screening
Md. Abdur Rahman, Senior Member, IEEE · M. Minhaz Rahman · Syed Usman Jamil, Member, IEEE · M. Shamim Hossain, Senior Member, IEEE · Selwa Al-Hazzaa
IEEE Internet of Things Magazine | Accepted June 2026 | Manuscript: IOTMAG-26-00037.R1
Why This Research Matters
Dyslexia affects an estimated 10–15% of the global population, yet diagnosis remains largely dependent on costly, time-consuming clinical assessments that are inaccessible to many. This paper addresses that gap by introducing a first-of-its-kind framework that fuses Artificial Intelligence, Internet of Medical Things (IoMT) devices, and multi-agentic security architecture into a single, deployable screening system.
By leveraging multimodal data — including gaze patterns, writing dynamics, and reading behaviour — the framework enables early, automated, and clinically meaningful dyslexia screening at scale, while maintaining the highest standards of data security, privacy preservation, and intelligent agent coordination.
Key Contributions
- Multi-Agentic AI Architecture — specialised agents for screening, analysis, security enforcement, and clinical reporting working in coordination
- Secure IoMT Integration — end-to-end encrypted data pipelines from wearable and embedded medical sensors to AI inference engines
- Multimodal Dyslexia Screening — simultaneous processing of visual, motor, and cognitive signals for high-accuracy early detection
- Intelligent Framework Design — adaptive, scalable architecture suitable for deployment in schools, clinics, and remote healthcare settings
Research Niche: This work sits at the rare intersection of AI-driven healthcare diagnostics, secure multi-agent systems, and IoMT infrastructure — a frontier that directly addresses the UN Sustainable Development Goal 3 (Good Health and Well-Being) through intelligent, accessible, and privacy-preserving technology.
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