Artificial Intelligence Enhanced Virtual Reality: A Personalized, Multilingual Approach to Pain Management

Jumreornvong O.; Mao H.; Povea Galdo G.; Jaro T.; Schuler K.; Robinson C.L.; Ruan Q.Z. · Journal of Medical Extended Reality (2024) · DOI: 10.1089/jmxr.2024.0038

Resumen

In this commentary, we introduce the artificial intelligence (AI) integration of generative virtual reality (VR) and multilingual voice cloning as a novel approach to personalized pain management. Globally, pain impacts billions of people daily. AI generated VR technology has the potential to modulate pain and enhance cognitive engagement through rapid design and personalization, and AI voice cloning uses familiar, multilingual voices to offer both neurological and psychological support. Through demonstration of our prototypes’ videos, we aim to explain how a combination of personalized AI text to 3-dimensional generated VR landscape and AI cloned voices could potentially reduce pain by providing personalized, emotionally supportive treatment that targets psychological and emotional factors in chronic pain. Our next steps include conducting feasibility and clinical trials to validate the technology’s effectiveness across various cultural and health care settings. © The Author(s) 2024. Published by Mary Ann Liebert, Inc., publishers. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Instituciones: Universidad Peruana Cayetano Heredia