Chukwudalu Henry Egonwanne, Oluwaseun Oladeji Olaniyi, Adebukola Oluyinka Eweoya, Emonena Patrick Obrik-Uloho & Rukayat Oluwabukola Olasege·Asian Journal of Research in Computer Science·2025
Ensuring privacy in AI-driven telehealth analytics remains a persistent challenge, as conventional cryptographic methods struggle to meet real-time and compliance requirements. This research developed and validated an AI-driven homomorphic encryption framework for secure real-tim...
Open access
Research Article10.9734/ajrcos/2025/v18i11775
Lisa Mmesoma Udechukwu, Oluwadayo Mafolasere Olaniyi, Adebukola Oluyinka Eweoya, Omobolaji Olufunmilayo Olateju & Rukayat Oluwabukola Olasege·Asian Journal of Research in Computer Science·2025
This research developed a blockchain-enabled framework to enhance secure credentialing and access management for remote healthcare providers and patients across fragmented digital health platforms. Addressing inefficiencies in traditional systems such as lengthy verification dela...
Open access
Research Article10.9734/ajrcos/2025/v18i11776
Seun Michael Oyekunle, Oluwadayo Mafolasere Olaniyi, Adebukola Oluyinka Eweoya, Michael Olayinka Gbadebo & Rukayat Oluwabukola Olasege·Journal of Engineering Research and Reports·2025
The growing complexity and volume of health data have exposed critical limitations in traditional, static data processing systems, creating an urgent need for adaptive AI pipelines that can support scalable, secure, and governance-compliant population health analytics. This study...
Open access
Research Article10.9734/jerr/2025/v27i101677