AI-Powered AR/VR for Augmenting Patient Education and Empowerment in Chronic Disease Management

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.

Authors

Publication Details

Journal
Journal of Neonatal Surgery
Published
2025-03-21
DOI
https://doi.org/10.52783/jns.v14.2438
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Powered AR/VR for Augmenting Patient Education and Empowerment in Chronic Disease Management

Ojasvi Razdan, Dheeraj Chilamakuri
Journal of Neonatal Surgery
AI in Service Interactions
article

AI-Powered AR/VR for Augmenting Patient Education and Empowerment in Chronic Disease Management

Ojasvi Razdan, Dheeraj Chilamakuri
article en

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.

Journal of Neonatal SurgeryVol. 14(4)
Openalex Percentile: Top 97%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI-Powered AR/VR for Augmenting Patient Education and Empowerment in Chronic Disease Management — Ojasvi Razdan, Dheeraj Chilamakuri · Journal of Neonatal Surgery (2025) | TGRS Research Map | TGRS