Published 16-04-2023
Keywords
- AI,
- dental diagnosis,
- image recognition,
- machine learning
How to Cite
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.
Downloads
References
- Reddy, Byrapu, and Surendranadha Reddy. "Evaluating The Data Analytics For Finance And Insurance Sectors For Industry 4.0." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3871-3877.
- Pillai, Aravind Sasidharan. "Advancements in Natural Language Processing for Automotive Virtual Assistants Enhancing User Experience and Safety." Journal of Computational Intelligence and Robotics 3.1 (2023): 27-36.
- 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.