Work

A Human Trial Study on Overcoming Linguistic and Stress-Related Barriers in Chronic Disease Management

Year: 2025

Type: article

Abstract: The study addresses language and stress barriers in chronic disease management among Sinhala-speaking patients, using an Augmented Reality (AR) embedded platform combined with an Artificial Intelligence (AI) chatbot. Rasa is integrated into the AI chatbot using Bidirectional Encoder Representations from Transformer (BERT)-Sinhala embeddings to deliver culturally tailored, real-time health recommendations. An AR module on AR.js and Three.js implements personalized stress-reduction interventions. The chatbot achieves an F1 score of 91% and a word error rate (WER) of 8.5%, while the AR system reduces systolic blood pressure by 8.96% (p = 0.002). The combined platform attains 88% scenario accuracy with a mean response time of 1.2 seconds. These findings support the system’s potential to improve healthcare access and reduce stress markers among Sinhala-speaking chronic patients, offering a low-resource, scalable, and culturally appropriate model for healthcare environments.

Source: Emerging Science Innovation

DOI: 10.46604/emsi.2024.15059

Authors: Witharamulage Nikhil Yeshmantha, Walisarage Anne Thushini Amasha Fernando, Kuruppuarachchige Kumashi Sakunika, Sanvitha Kasthuriarachchi, Mihiri Samaraweera

Institution: Sri Lanka Institute of Information Technology

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: hybrid

OpenAlex ID: W4413867966