AI-Powered AR/VR for Augmenting Patient Education and Empowerment in Chronic Disease Management
Year: 2025
Type: article
Abstract: Chronic diseases such as diabetes, cardiovascular disorders, and neurodegenerative conditions present significant challenges in patient education and long-term management. Traditional patient education methods, including pamphlets, face-to-face counseling, and static digital resources, often fail to engage patients effectively. Emerging technologies such as Artificial Intelligence (AI), Augmented Reality (AR), and Virtual Reality (VR) offer a transformative approach to chronic disease education, improving patient engagement, comprehension, and self-management capabilities. AI-powered AR/VR applications create immersive learning experiences, allowing patients to visualize disease progression, simulate treatment options, and receive personalized guidance. This paper explores the core technologies underpinning AI-driven AR/VR, their integration for patient education, and the empowerment of individuals in chronic disease self-management. Additionally, the paper discusses the technical, ethical, and scalability challenges while proposing future research directions for optimizing these technologies for real-world deployment.
Source: Journal of Neonatal Surgery
Authors: Ojasvi Razdan, Dheeraj Chilamakuri
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409115281