This study develops and validates an information governance framework for AI-generated synthetic patient data in healthcare research, balancing data utility, privacy, and algorithmic bias mitigation. The introduction positions the framework as a response to stringent privacy regu...
Open access
Research Article10.9734/ajarr/2025/v19i111193
Lisa Mmesoma Udechukwu, Tunbosun Oyewale Oladoyinbo, Nanyeneke Ravana Mayeke, Temilade Oluwatoyin Adesokan-Imran & Rukayat Oluwabukola Olasege·Archives of Current Research International·2025
This study developed and assessed an AI-driven adversarial defense framework using Generative Adversarial Networks (GANs) to secure healthcare IoT ecosystems against rising cybersecurity threats in medical settings. The research drew on datasets (CICIoMT2024, WUSTL-EHMS-2020, BoT...
Open access
Research Article10.9734/acri/2025/v25i101556
Emonena Patrick Obrik-Uloho, Valerie Ojinika Ejiofor, Chukwudalu Henry Egonwanne, Faith Hauwa Oluwapamilerin Kolo & Rukayat Oluwabukola Olasege·Archives of Current Research International·2025
The rapid digital transformation of healthcare through smart hospitals driven by AI, IoMT, cloud computing, and telemedicine has heightened cyber vulnerabilities, with 276 million records breached globally in 2024. This study developed a Zero Trust Architecture (ZTA) blueprint to...
Open access
Research Article10.9734/acri/2025/v25i101557