Vol. 3 No. 1 (2023): Journal of AI-Assisted Scientific Discovery
Articles

The Integration of AI and ML in Dental Imaging for Enhanced Diagnostic Capabilities

Prof. Hans Schmidt
Head of AI and Healthcare Research, Technical University of Munich, Germany
Cover

Published 17-04-2023

Keywords

  • dental imaging,
  • diagnostic capabilities,
  • oral health,
  • algorithms,
  • integration,
  • future directions
  • ...More
    Less

How to Cite

[1]
Prof. Hans Schmidt, “The Integration of AI and ML in Dental Imaging for Enhanced Diagnostic Capabilities”, Journal of AI-Assisted Scientific Discovery, vol. 3, no. 1, pp. 10–21, Apr. 2023, Accessed: Nov. 21, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/5

Abstract

The field of dentistry has witnessed significant advancements in recent years, particularly in the realm of diagnostic imaging. This study explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies to enhance diagnostic capabilities in dental imaging. By leveraging AI and ML algorithms, dental practitioners can achieve higher accuracy and efficiency in diagnosing various oral health conditions. This paper provides a comprehensive review of the current state of AI and ML applications in dental imaging, discusses the challenges and opportunities associated with their integration, and presents future research directions in this rapidly evolving field.

Downloads

Download data is not yet available.

References

  1. 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.
  2. Pulimamidi, Rahul. "Leveraging IoT Devices for Improved Healthcare Accessibility in Remote Areas: An Exploration of Emerging Trends." Internet of Things and Edge Computing Journal 2.1 (2022): 20-30.
  3. Venigandla, Kamala, et al. "Leveraging AI-Enhanced Robotic Process Automation for Retail Pricing Optimization: A Comprehensive Analysis." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 361-370.
  4. Reddy, Surendranadha Reddy Byrapu. "Ethical Considerations in AI and Data Science-Addressing Bias, Privacy, and Fairness." Australian Journal of Machine Learning Research & Applications 2.1 (2022): 1-12.
  5. Sasidharan Pillai, Aravind. “Utilizing Deep Learning in Medical Image Analysis for Enhanced Diagnostic Accuracy and Patient Care: Challenges, Opportunities, and Ethical Implications”. Journal of Deep Learning in Genomic Data Analysis 1.1 (2021): 1-17.
  6. Pulimamidi, Rahul. "Emerging Technological Trends for Enhancing Healthcare Access in Remote Areas." Journal of Science & Technology 2.4 (2021): 53-62.