The landscape of artificial intelligence (AI) has dramatically evolved, showcasing significant advancements that redefine potential across various sectors. In dentistry, the integration of AI heralds a transformative era, leveraging digitized data, machine learning algorithms, and enhanced computing power to augment traditional practices. This course aims to explore the burgeoning role of AI within dental care, emphasizing its capability to enhance diagnosis, treatment planning, and patient outcomes.
This webinar is designed for anyone interested in the intersection of AI and dentistry, aiming to provide a comprehensive overview of the current landscape and future prospects. Participants will leave with a profound understanding of how AI can be leveraged to not only improve clinical outcomes but also to redefine the practice of dentistry for the better.
Learning Objectives
By the end of this webinar, participants will be able to:
1. Gain a solid foundation in the basic principles of artificial intelligence, machine learning, and how these technologies are powered by data and computing infrastructure.
2. Examine current and emerging applications of AI in dentistry, focusing on the identification of anatomical structures, diagnostics, and predictive analytics for treatment outcomes.
3. Assess how AI can enhance patient care through more accurate diagnoses, personalized treatment plans, and improved patient engagement and education.
4. Understand the ethical, legal, and social implications of integrating AI into dental practice, including privacy concerns, data security, and the potential for bias.
5. Identify future trends in AI that could further revolutionize the practice of dentistry, including the development of new tools and techniques for preventive care, robotic surgery, and tele-dentistry.
Webinar presented by:
Thomas Nguyen, DMD MSc FRCD(C)
Associate Director of Division of Periodontics
Chair of ITI Scholarship Center
Director of Continuing Dental Education
Faculty of Dental Medicine and Oral Health Sciences | McGill University
Registration start dates
April 15th for DIAC Members
April 29th for Non-Members and DIAC Partner Members
Please note: Unless sold out in advance, registration closes at 3:00 PM ET on May 21st, 2024.
