Virtual Reality Applications in Healthcare Rehabilitation Therapy and Medical Training Innovations

Virtual Reality (VR) is standing out against the world of healthcare and it has accelerated the field of rehabilitation therapy and medical training. Multifaceted research activities have been carried out to promote the efficiency and effectiveness of each AI-enabled medicine in the clinical service; yet, most studies come with limitations (e.g., the applications of these tools are only limited to specific medical fields, little emphasis on long-term effectiveness, and a lack of comparative studies of AI applications with traditional methods). This research aims to address these challenges by providing a novel, integrative framework for healthcare training and rehabilitation based on a multimodal and adaptive VR-based system. This includes the incorporation of artificial intelligence (AI), haptic feedback, and real-time biometric monitoring for immersive and effective applications. A comparative, objective analysis could be performed to evaluate the effectiveness, interest and affordability of the VR-based methods against the traditional rehabilitation and training methods. We will also explore the ways in which VR can be used for benefits beyond entertainment, including the effect that VR has on psychology and cognitive function/neuroplasticity. This study addresses the barriers to VR adoption and scalability, providing a framework and implications for widespread implementation in hospitals and medical institutions. To showcase the potential of cutting edge VR technologies to enhance medical education, lead to better patient recovery outcomes and sustain rehabilitation gains over time.

Authors

Institutions

Publication Details

Journal
ITM Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/itmconf/20257604001
Citations
1
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
1.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virtual Reality Applications in Healthcare Rehabilitation Therapy and Medical Training Innovations

Gottipati Venkata Rambabu, Syed Zahidur Rashid, R. Senthil Kumar, K. Manasa et al.
1 citations
ITM Web of Conferences
Stroke Rehabilitation and Recovery
1.03
article

Virtual Reality Applications in Healthcare Rehabilitation Therapy and Medical Training Innovations

Gottipati Venkata Rambabu, Syed Zahidur Rashid, R. Senthil Kumar, K. Manasa, R Kavya, G B Santhi
article en
1 citations

Abstract

Virtual Reality (VR) is standing out against the world of healthcare and it has accelerated the field of rehabilitation therapy and medical training. Multifaceted research activities have been carried out to promote the efficiency and effectiveness of each AI-enabled medicine in the clinical service; yet, most studies come with limitations (e.g., the applications of these tools are only limited to specific medical fields, little emphasis on long-term effectiveness, and a lack of comparative studies of AI applications with traditional methods). This research aims to address these challenges by providing a novel, integrative framework for healthcare training and rehabilitation based on a multimodal and adaptive VR-based system. This includes the incorporation of artificial intelligence (AI), haptic feedback, and real-time biometric monitoring for immersive and effective applications. A comparative, objective analysis could be performed to evaluate the effectiveness, interest and affordability of the VR-based methods against the traditional rehabilitation and training methods. We will also explore the ways in which VR can be used for benefits beyond entertainment, including the effect that VR has on psychology and cognitive function/neuroplasticity. This study addresses the barriers to VR adoption and scalability, providing a framework and implications for widespread implementation in hospitals and medical institutions. To showcase the potential of cutting edge VR technologies to enhance medical education, lead to better patient recovery outcomes and sustain rehabilitation gains over time.

ITM Web of ConferencesVol. 76
National Institute of Technology Tiruchirappalli (IN), International Islamic University Chittagong (BD), P.V. Narsimha Rao Telangana Veterinary University (IN), Indian Institute of Technology Hyderabad (IN), Saveetha University (IN), Bharath University (IN)
Openalex Percentile: Top 24%
Stroke Rehabilitation and Recovery
1.03
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.