Intelligent Virtual Reality Systems for Pain Management in Dental Procedures

Authors

  • Ahmed Hassan Associate Professor, AI in Healthcare, Nile University, Cairo, Egypt Author

Keywords:

Virtual Reality, Pain Management, Dental Procedures, , Immersive Experiences, Healthcare Technology

Abstract

Intelligent Virtual Reality (VR) systems have shown promise in various healthcare applications, including pain management. This study explores the potential of intelligent VR systems for pain management during dental procedures. By providing immersive and interactive experiences, these systems can distract patients from the discomfort of dental procedures, reducing the need for traditional pain management techniques. This paper reviews the current state of intelligent VR systems in dentistry, discusses their benefits and challenges, and proposes future directions for research and development. 

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References

Dixit, Rohit R. "Investigating Healthcare Centers' Willingness to Adopt Electronic Health Records: A Machine Learning Perspective." Eigenpub Review of Science and Technology 1.1 (2017): 1-15.

Pillai, Aravind Sasidharan. "Multi-label chest X-ray classification via deep learning." arXiv preprint arXiv:2211.14929 (2022).

Venigandla, Kamala. "Integrating RPA with AI and ML for Enhanced Diagnostic Accuracy in Healthcare." Power System Technology 46.4 (2022).

Vemuri, Navya, and Kamala Venigandla. "Autonomous DevOps: Integrating RPA, AI, and ML for Self-Optimizing Development Pipelines." Asian Journal of Multidisciplinary Research & Review 3.2 (2022): 214-231.

Dixit, Rohit R., Robert P. Schumaker, and Michael A. Veronin. "A Decision Tree Analysis of Opioid and Prescription Drug Interactions Leading to Death Using the FAERS Database." IIMA/ICITED Joint Conference 2018. INTERNATIONAL INFORMATION MANAGEMENT ASSOCIATION, 2018.

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Published

17-04-2023

How to Cite

[1]
Ahmed Hassan, “Intelligent Virtual Reality Systems for Pain Management in Dental Procedures”, J. of Artificial Int. Research and App., vol. 3, no. 1, pp. 20–29, Apr. 2023, Accessed: Nov. 22, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/8

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