Intelligent Virtual Assistants for Patient Engagement in Dental Healthcare

Authors

  • Kai Wang Associate Professor, Department of Health Informatics, Summit University, Shanghai, China Author

Keywords:

Intelligent virtual assistants, patient engagement, dental healthcare, artificial intelligence, treatment adherence

Abstract

This paper investigates the role of intelligent virtual assistants (IVAs) in improving patient engagement within the realm of dental healthcare. IVAs, powered by artificial intelligence (AI) and natural language processing (NLP), offer a promising avenue for enhancing patient-provider interactions, appointment scheduling, treatment adherence, and oral health education. The study reviews current applications of IVAs in dentistry, their benefits, challenges, and future potential. The findings highlight the significant impact of IVAs on patient satisfaction, treatment outcomes, and overall dental practice efficiency. This research contributes to the understanding of how IVAs can revolutionize patient engagement in dental healthcare, paving the way for more personalized and efficient oral care delivery.

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References

Pillai, Aravind Sasidharan. "A Natural Language Processing Approach to Grouping Students by Shared Interests." Journal of Empirical Social Science Studies 6.1 (2022): 1-16.

Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.

Venigandla, Kamala, and Venkata Manoj Tatikonda. "Optimizing Clinical Trial Data Management through RPA: A Strategy for Accelerating Medical Research."

Nalluri, Mounika, et al. "INTEGRATION OF AI, ML, AND IOT IN HEALTHCARE DATA FUSION: INTEGRATING DATA FROM VARIOUS SOURCES, INCLUDING IOT DEVICES AND ELECTRONIC HEALTH RECORDS, PROVIDES A MORE COMPREHENSIVE VIEW OF PATIENT HEALTH." Pakistan Heart Journal 57.1 (2024): 34-42.

Kolay, Srikanta, Kumar Sankar Ray, and Abhoy Chand Mondal. "K+ means: An enhancement over k-means clustering algorithm." arXiv preprint arXiv:1706.02949 (2017).

Kulkarni, Chaitanya, et al. "Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer." BMC Medical Informatics and Decision Making 24.1 (2024): 92.

Pargaonkar, Shravan. "The Crucial Role of Inspection in Software Quality Assurance." Journal of Science & Technology 2.1 (2021): 70-77.

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Published

16-04-2024

How to Cite

[1]
Kai Wang, “Intelligent Virtual Assistants for Patient Engagement in Dental Healthcare”, J. of Artificial Int. Research and App., vol. 4, no. 1, pp. 14–23, Apr. 2024, Accessed: Nov. 23, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/1

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