Future of AI Integration in Dental Assisting: Revolutionizing Patient Care and Professional Training

Authors

  • Waad Thine Alanazi, Dr. Adel Abdulrahman Al-Shahrani, Salha Saud Albishe, Suha Mahmoud Alshaer,
  • Fawziah Khalaf Al Shmry, Saja Abdulrahman Al Muhaidib, Yahya Hussain Al Jallab, Mohammed Jaber Ali Al Nasaib

DOI:

https://doi.org/10.63278/jicrcr.vi.578

Keywords:

Artificial Intelligence, Dental Assistants, Teledentistry, Patient Care.

Abstract

Artificial Intelligence (AI) tools and technologies have revolutionized dentistry, enhanced diagnostic accuracy, improved the efficiency of dental interventions and procedures, automating office tasks, enhancing patient experience, and improving health outcomes. AI tools and technologies have also enhanced dental assistant tasks such as assisting with radiological analysis and interpretation, patient management, and office administration. AI applications, including machine learning, augmented reality, and virtual reality, are enhancing the skills of dental assistants by providing interactive training simulations and improving clinical decision-making. This review explores the current and future roles of AI in dental assistants, emphasizing its contribution to diagnosis, treatment planning, and administrative efficiency. As AI continues to evolve, dental assistants will be equipped with advanced tools to improve the quality of care, streamline processes, and contribute to better patient outcomes. The integration of AI into dental assistants offers a promising future, with the potential for more accurate diagnoses, personalized treatment plans, and enhanced patient engagement.

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Published

2024-11-27

How to Cite

Waad Thine Alanazi, Dr. Adel Abdulrahman Al-Shahrani, Salha Saud Albishe, Suha Mahmoud Alshaer, & Fawziah Khalaf Al Shmry, Saja Abdulrahman Al Muhaidib, Yahya Hussain Al Jallab, Mohammed Jaber Ali Al Nasaib. (2024). Future of AI Integration in Dental Assisting: Revolutionizing Patient Care and Professional Training. Journal of International Crisis and Risk Communication Research , 882–888. https://doi.org/10.63278/jicrcr.vi.578

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Section

Articles