Vol. 3 No. 1 (2023): Journal of Deep Learning in Genomic Data Analysis
Articles

Enhancing Dental Diagnosis Through AI-Driven Image Recognition

Dr. Aisha Ahmed
Professor, AI for Healthcare Management, Oasis University, Riyadh, Saudi Arabia
Cover

Published 16-04-2023

Keywords

  • AI,
  • dental diagnosis,
  • image recognition,
  • machine learning

How to Cite

[1]
Dr. Aisha Ahmed, “Enhancing Dental Diagnosis Through AI-Driven Image Recognition”, Journal of Deep Learning in Genomic Data Analysis, vol. 3, no. 1, pp. 8–14, Apr. 2023, Accessed: Nov. 21, 2024. [Online]. Available: https://thelifescience.org/index.php/jdlgda/article/view/9

Abstract

This research paper explores the application of artificial intelligence (AI)-driven image recognition techniques to improve diagnostic accuracy in dentistry. The use of AI in dentistry has the potential to revolutionize the field by providing dentists with tools to enhance their diagnostic capabilities, leading to more accurate and efficient treatment plans. This paper examines the current state of AI in dental diagnosis, including the challenges and opportunities it presents. It also discusses the benefits of AI-driven image recognition in dentistry, such as improved accuracy, speed, and cost-effectiveness. Additionally, the paper addresses the ethical considerations and potential limitations of using AI in dental diagnosis. Overall, this research provides valuable insights into how AI can enhance dental diagnosis and improve patient outcomes.

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