Vol. 4 No. 1 (2024): Hong Kong Journal of AI and Medicine
Articles

AI-Driven Optimization of Dental Practice Operations

Dr. Luca Rossi
Professor, AI Applications in Medicine, Roma College, Rome, Italy
Cover

Published 16-04-2024

Keywords

  • dental practice operations,
  • operational efficiency,
  • patient management,
  • resource allocation,
  • workflow optimization

How to Cite

[1]
Dr. Luca Rossi, “AI-Driven Optimization of Dental Practice Operations”, Hong Kong J. of AI and Med., vol. 4, no. 1, pp. 22–30, Apr. 2024, Accessed: Nov. 22, 2024. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/3

Abstract

This paper explores the transformative potential of artificial intelligence (AI) in optimizing the operational efficiency of dental practices. AI-driven solutions are revolutionizing traditional workflows, offering enhanced decision-making capabilities, and improving patient care. By leveraging AI technologies, dental practices can streamline administrative tasks, enhance patient scheduling, and improve treatment outcomes. This study examines key AI applications, such as patient management systems, treatment planning, and resource allocation, and discusses their impact on dental practice operations. Additionally, it investigates the challenges and ethical considerations associated with the adoption of AI in dental practices. Overall, this research highlights the benefits of AI-driven optimization in dental practice operations and provides insights into future trends in this rapidly evolving field.

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References

  1. Pillai, Aravind Sasidharan. "Multi-label chest X-ray classification via deep learning." arXiv preprint arXiv:2211.14929 (2022).
  2. 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.
  3. Nalluri, Mounika, et al. "MACHINE LEARNING AND IMMERSIVE TECHNOLOGIES FOR USER-CENTERED DIGITAL HEALTHCARE INNOVATION." Pakistan Heart Journal 57.1 (2024): 61-68.
  4. Khan, Murad, et al. "AI-POWERED HEALTHCARE REVOLUTION: AN EXTENSIVE EXAMINATION OF INNOVATIVE METHODS IN CANCER TREATMENT." BULLET: Jurnal Multidisiplin Ilmu 3.1 (2024): 87-98.
  5. Raparthi, Mohan, Sarath Babu Dodda, and Srihari Maruthi. "AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health." European Economic Letters (EEL) 11.1 (2021).
  6. Pargaonkar, Shravan. "Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering." Journal of Science & Technology 1.1 (2020): 61-66.