AI in Orthodontics: From Research to Reality

The Golden Age of Orthodontics

In this episode of The Golden Age of Orthodontics Podcast, Dr. Leon Klempner and Amy Epstein are joined by Dr. Shankar Rengasamy Venugopalan, Chair of the Department of Orthodontics at Tufts University. Together, they discuss the transformative impact of AI on orthodontics and digital treatment plans. They’ll explore AI's role in treatment planning, emphasizing the need for transparency in AI algorithms and the importance of orthodontists' clinical judgment, as well as some of the limitations of AI. Dr. Venugopalan highlights the biological factors influencing tooth movement and reassures that AI cannot replace human expertise and patient-doctor relationship. Now is the time for orthodontists to embrace, rather than fear, technological advancements to enhance patient care through innovative approaches.

IN THIS EPISODE:

• [3:30] Meet Dr. Venugopalan's background and expertise in orthodontics and AI
• [5:09] Precision medicine and its relevance in orthodontics
• [10:34] Dr. Venugopalan gives an overview of AI applications in diagnosis and treatment planning in orthodontics. Insights into the current state of AI research and its clinical applications.
• [19:12] The potential for integrating genomics and multi-modal data in orthodontic treatment. Plus, a discussion on the limitations and challenges associated with AI in orthodontics.
• [28:24] Will AI replace the need for orthodontists or serve as a supportive tool in treatment planning?
• [33:26] It is important to consider the patient’s biology in treatment outcomes and the inherent limitations of AI tools in this regard
• [38:21] Dr. Venugopalan encourages the development of holistic clinical knowledge beyond just biomechanics in orthodontics and expresses hope for the integration of AI in improving patient outcomes.

KEY TAKEAWAYS:

• AI is currently being applied in various aspects of clinical orthodontic practice, from diagnosis to treatment monitoring. These applications not only streamline clinical workflows but also enhance the quality of care provided to patients.
• Despite its potential, AI in orthodontics faces several challenges and limitations. One major concern is the quality and diversity of data used to train AI models, as biased or incomplete datasets can lead to inaccurate predictions. Additionally, the integration of AI into clinical practice requires significant investment in technology and training, which may be a barrier for some practices.
• While technology offers numerous benefits, it is essential for orthodontists to maintain their clinical judgment and expertise. Technology should be viewed as a tool that enhances, rather than replaces, the orthodontist's skills and knowledge. As technology continues to advance, the role of orthodontists is evolving to encompass new skills and responsibilities. In the future, orthodontists will need to be proficient in digital tools and data analysis to effectively incorporate technology into their practice. They will also play a crucial role in interpreting AI-generated insights and integrating them into personalized treatment plans.
• As the field becomes more tech-driven, orthodontists will have the opportunity to enhance patient care through innovative approaches, while also navigating the ethical and practical challenges that come with technological integration.

RESOURCE LINKS

People + Practice - Website

Dr. Leon - Email

Amy - Email

People + Practice - Email