Title

Development of an AI integrated virtual reality system for reducing dental anxiety among pediatric patients

Authors

Bhaswati Roy¹, PV Samir¹,*, G Aruna Kumari², Sukabhogi Anusha³, S. Nithya⁴ & Anandamoy Bagchi¹

Affiliation

¹Department of Pedodontics & Preventive Dentistry, Kalinga Institute of Dental Sciences (KIDS), Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar- 751024, Odisha, India; ²Department of Pedodontics & Preventive Dentistry, Malla Reddy Dental College for Women- Mallareddy Viswavidyapeeth, Hyderabad, India; ³Department of Pedodontics and Preventive dentistry, Meghana Institute of Dental Sciences, Nizamabad, Telangana, India; ⁴Department of Oral and Maxillofacial Pathology, ESIC Dental College and Hospital, Rohini, Delhi, India; *Corresponding author

Email

PV Samir - E-mail: pv.samir@kids.ac.in; Phone: +91 9938938892
Bhaswati Roy - E-mail: bhaswatiroy2003@gmail.com; Phone: +91 9163034064
G Aruna Kumari - E-mail: aruna2thdoc@gmail.com; Phone: +91 9849264939
Sukabhogi Anusha - E-mail: anushapatil.sukhabogi@gmail.com; Phone: +91 8106293711
S Nithya - E-mail: nithya2101@gmail.com; Phone: +91 9940159262
Anandamoy Bagchi - E-mail: a_bagchi@hotmail.com; Phone: +91 9339536846

Article Type

Research Article

Date

Received September 1, 2025; Revised September 31, 2025; Accepted September 31, 2025, Published September 31, 2025

Abstract

Childhood dental fear prevents the successful care. This exploratory study tested an AI-based VR system in the reduction of anxiety using 60 pediatric dental patients. The MCDAS scores measured and the heartbeat rates of Group B (AI-VR) reduced significantly more than in Group A (routine care). Thus, artificial intelligence increased interaction and fun in real-time. AI-VR seems like an excellent assistant in treating dental anxiety in children.

Keywords

Artificial Intelligence, virtual reality, dental anxiety, pediatric dentistry, behavior management, child dental fear, interactive systems.

Citation

Roy et al. Bioinformation 21(9): 2992-2995 (2025)

Edited by

Hiroj Bagde

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.