Category 1
These courses offer a foundational understanding of AI in dentistry, covering concepts, applications, and ethics, with a focus on enhancing compassionate patient care.
Category 2
The next category provides insights on enhancing visibility and competitiveness in the evolving dental landscape while leveraging AI to build trust and adapt to market changes.
Workshops
Healthcare professionals must master prompt engineering to effectively communicate with AI tools, enhancing their usefulness in clinical and patient-oriented applications.
COURSE TYPE: Category 1
Understanding AI in Dentistry
Foundations, Benefits, and Ethical Implications
Course Overview:
This course provides a foundational understanding of AI in dentistry, covering key concepts, applications, and ethical considerations. We explore how AI can enhance diagnostics, patient engagement, and operational efficiency through tools like radiographic analysis, AI scribes, and prompt engineering. Core AI concepts such as machine learning and computer vision will be introduced alongside their limitations and best practices…
Learning Objective:
- Explain What AI Is and How It Functions
- Analyze the Relevance and Potential of AI in Dentistry
- Examine Ethical and Regulatory Responsibilities
Length: 3 Hours
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Course Overview Continued…
…Emphasis will be placed on ethical issues, including data privacy, patient consent, and regulatory compliance, ensuring participants can integrate AI responsibly to support, rather than replace, clinical judgment. Practical guidelines for implementation and risk management are also included.
Course Objective:
To provide dentists with foundational knowledge on AI, including how specific models like LLMs and machine learning applications work, and to explain why these technologies are becoming increasingly relevant and transformative in the dental field.
Learning Objectives
Explain What AI Is and How It Functions
Introduce the fundamental principles of AI, including key types such as:
- Machine Learning (ML): Algorithms that learn from data to make predictions or decisions, such as image classification for diagnostic assistance.
- Large Language Models (LLMs): AI models trained on extensive language data to process and generate human-like text, useful in generating patient reports or answering clinical questions.
- Computer Vision and Deep Learning: Applications focused on interpreting images, with specific use in dental radiography to enhance diagnostic accuracy.
- Highlight how these AI tools are developed and refined, including the use of vast, annotated datasets and human training to optimize reliability and safety.
Analyze the Relevance and Potential of AI in Dentistry
- Explore the capabilities of AI in enhancing diagnostic accuracy, improving
treatment planning, streamlining administrative workflows, and even supporting patient communication. - Highlight why AI is essential for modern dentistry, addressing increased demand for precision, patient-centered care, and efficient practice management.
- Attain foundational knowledge of AI technologies, such as machine learning and natural language processing, with applications in radiography, documentation, and patient interaction.
- Integrate AI Tools into Clinical Practice: Utilize practical techniques to incorporate AI into day-to-day practice, from enhancing radiographic diagnostics to optimizing documentation and patient communications.
Examine Ethical and Regulatory Responsibilities
- Dive into the ethical implications of AI, including maintaining patient trust, safeguarding privacy, and upholding transparency.
- Provide an overview of the current and evolving regulatory frameworks (e.g., from RCDSO, ADA) that dentists need to be aware of when incorporating AI in practice.
- Navigate Ethical and Regulatory Considerations: Apply best practices to uphold patient trust, data privacy, and informed consent while using AI-enhanced diagnostic and administrative tools.
Module Content Highlights
- Introduction to AI Types and Use Cases in Dentistry: Detailed overview of ML, LLMs, computer vision, and other AI models tailored for dental applications.
- Case Examples of AI in Dentistry: Real-world examples of AI’s positive impact, such as more accurate diagnostic support in radiology.
- Ethics and Governance Frameworks: Practical guidance on professional and legal obligations, with case studies illustrating ethical dilemmas in AI use.
COURSE TYPE: Category 1
Practical AI Applications in Dentistry
Integration, Challenges, and Risk Mitigation
Course Overview:
This course transforms foundational concepts into practical, universal applications for dental practice. This course focuses on the “how,” detailing the implementation of AI that applies across all dental settings. It provides hands-on guidance for integrating AI in three key areas: diagnostic imaging enhancement, clinical documentation through AI scribes, and effective prompt engineering…
Length: 3 Hours
Learning Objective:
- Implement AI Tools in Clinical and Administrative Practices
- Identify and Mitigate Unintended Consequences
- Evaluate AI Tools for Safe and Effective Use
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Course Overview Continued…
…The module demonstrates real-world applications in patient care, treatment planning, and practice efficiency while addressing common implementation challenges. It concludes by examining future implications and providing concrete steps for identifying and mitigating unintended consequences of AI regardless of practice type or location.
Course Objective:
To equip dentists with hands-on strategies for integrating AI into their practice effectively and safely, while addressing and mitigating risks associated with its unintended consequences.
Learning Objective:
Implement AI Tools in Clinical and Administrative Practices
- Provide guidance on incorporating AI tools into clinical workflows, including patient diagnostics, administrative efficiencies, and patient engagement.
- Offer practical examples, such as AI-assisted diagnostic imaging for identifying caries or periodontal disease, and automated charting or billing processes.
Identify and Mitigate Unintended Consequences
- Discuss risks such as AI-induced biases, data security challenges, and potential disruptions to patient-doctor relationships.
- Outline steps to manage these risks, emphasizing human oversight, patient consent, and ethical use of AI in clinical decision-making .
Evaluate AI Tools for Safe and Effective Use
- Equip dentists with a protocol for selecting and evaluating AI tools, focusing on reliability, alignment with practice standards, and ongoing monitoring.
- Stress the importance of continual AI performance reviews and evidence-based validation to ensure patient safety and quality care.
Module Content Highlights
- Hands-On AI Applications and Workflows: Specific guidance for integrating AI technologies into common clinical scenarios, such as diagnostics and patient interaction.
- Risk Mitigation Techniques: Key methods for minimizing liability risks and ethical challenges, ensuring AI’s responsible use.
- Evaluation and Monitoring Protocols: Practical steps for dentists to assess AI tools’ effectiveness and compliance with clinical and ethical standards
COURSE TYPE: Category 1
The AI Advantage: Transforming Dental Practice in the Digital Age
Course Description:
This comprehensive course introduces dentists to the fundamentals of artificial intelligence in dental practice, with a special focus on data governance and privacy considerations. Participants will explore how AI technologies like machine learning and computer vision enhance diagnostic capabilities and practice management, while learning essential frameworks for responsible AI implementation. Through practical examples and case studies, the course addresses critical aspects of data protection, patient consent, and regulatory compliance, ensuring dentists can confidently integrate AI while maintaining professional standards and patient trust.
Length: 1 Hour
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Learning Objective:
By the end of this course, participants will be able to:
Understand AI Fundamentals and Applications in Dentistry
- Explain core AI concepts including machine learning, computer vision, and large language models
- Identify practical applications of AI in diagnostic support, particularly in radiographic analysis
- Evaluate AI tools for practice management and patient communication
Understand Data Governance and Privacy Principles
- Implement robust data management protocols for AI integration
- Design compliant patient consent processes for AI-assisted services
- Develop strategies for protecting patient data in AI applications
Navigate Ethical and Regulatory Considerations
- Apply current regulatory frameworks to AI implementation
- Address transparency requirements in AI-assisted decision-making
- Balance technological advancement with patient privacy rights
COURSE TYPE: Category 2
Artificial Intelligence in Dentistry and the Unintended Consequences
Will Dentists Survive?
Course Description:
Will dentists survive the AI revolution? From diagnostic algorithms to automated treatment planning, AI is reshaping dentistry’s landscape. Dr. Fritz, a leading voice in dental AI implementation, reveals the transformative potential and hidden risks of this technological revolution. Discover how to harness AI’s power while avoiding its pitfalls, ensuring your practice thrives in an AI-enhanced future.
Length: 1 Hour
COURSE TYPE: Category 2
Shaping Your Digital Future: Building a Brand for Success in Dental Specialties
Course Description:
The dental specialty field is undergoing a profound transformation, driven by external pressures and the accelerated changes brought about by the pandemic. The traditional ways of engaging patients and building professional relationships are no longer sufficient in today’s rapidly evolving digital landscape. To remain relevant and impactful, dental specialists must embrace digital transformation and develop a cohesive digital strategy.
This course explores how creating and refining your digital brand can help you stand out, foster trust with patients and referral partners, and adapt to shifting market dynamics. Through practical insights and examples, attendees will learn how digital trends are reshaping communication, relationships, and professional visibility. By adopting strategic, forward-looking approaches, dental specialists can enhance their competitive edge and navigate the risks and opportunities of the digital era.
Length: 1 Hour
COURSE TYPE: Category 2
Navigating Turbulent Times: The Future of Dental Specialists in a VUCA World
Course Description:
In today’s VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) world, dental specialists face unprecedented challenges. The pandemic has only amplified this turbulence, reshaping patient expectations, market dynamics, and workforce demands. As the landscape evolves, longing for the simplicity of the past is no longer a viable strategy. Instead, we must embrace innovative, forward-thinking approaches to secure our relevance and purpose in tomorrow’s dental ecosystem.
Drawing insights from top-performing specialty clinics in over 25 countries, this lecture will present a peer-to-peer perspective on navigating the complex demands of leading a successful specialty practice. Together, we’ll analyze the competitive environment, explore unconventional strategies borrowed from other industries, and reimagine what it means to lead with resilience and adaptability. Attendees will leave with actionable strategies to align their teams, strengthen collaborations, and harness the power of a trusted professional network to not only survive but thrive in the VUCA world.
Length: 1 Hour
COURSE TYPE: Category 2
The Economic Impact of Surgical Complications: A Case for Collaborative Excellence
Course Description:
Even with meticulous planning and execution, some patients will experience post-surgical complications. These can manifest immediately, as in the case of post-operative infections, or emerge years later, such as with peri-implantitis. The disparity in complication rates between experienced and less-experienced surgeons highlights the critical importance of clinical expertise. To better understand and communicate the severity of these complications, assigning a financial cost to adverse outcomes provides valuable context for both clinicians and patients.
This course will explore how business modeling tools, such as Return on Invested Capital (ROIC) analyses, underscore the economic benefits of adopting a team-based approach to surgical care. By leveraging the expertise of specialists with lower complication rates, patients receive more predictable and cost-effective outcomes. Additionally, clinicians benefit from enhanced case profitability and improved long-term patient satisfaction. Participants will leave equipped to make data-driven decisions, minimize financial risk, and deliver optimal care in a collaborative setting.
Length: 3 Hours
COURSE TYPE: Workshop – Category 2
Mastering the Art of Prompt Engineering: Unlocking AI’s Full Potential in Healthcare
Course Description:
In the era of Artificial Intelligence, effective communication with AI tools has become a critical skill for healthcare professionals. Whether you are a dentist, physician, veterinarian, nurse, pharmacist, or a member of the support team, prompt engineering is your key to unlocking AI’s transformative power. This workshop focuses on the practical skill of crafting effective prompts to maximize the utility of AI tools in clinical, administrative, and patient-facing applications.
Length: 1 Hour
Learning Objective
- Understand the Fundamentals of Prompt Engineering
- Maximize AI Effectiveness Through Structured Communication
- Mitigate Risks and Enhance Collaboration with AI
- Tailor Prompts to Specific Healthcare Contexts