AI in Dentistry by Dr. Seth Gibree

AI in Dentistry 

Artificial intelligence software is transforming how dentists practice. Here’s how to evaluate a program’s benefits and issues


by Dr. Seth Gibree


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In the rapidly evolving world of health care technology, dentistry stands on the brink of a transformative era powered by artificial intelligence (AI). AI is changing how dental practices operate, from private practices to multipractice groups and even in learning environments like dental schools.

As senior director of clinical AI and innovation at Heartland Dental, I have spent the past seven years spearheading the integration and innovation of AI into various aspects of dental practice, focusing on diagnosis, treatment planning and enhancing office efficiency through technology. Ultimately, my daily goal is trying to figure out how AI can benefit clinicians and improve levels of patient care and outcomes, all while streamlining administrative processes in the office.

This article delves into the benefits of AI in dentistry and the challenges of onboarding AI technology at scale, and offers guidance on evaluating and implementing AI software across various dental practice settings.


Understanding AI in dentistry
AI technology mimics human cognitive abilities, offering unprecedented capabilities across various domains. From conversing with AI-driven virtual assistants such as ChatGPT, Siri and Alexa to recognizing images in self-driving cars like Tesla, Rivian and Ford, AI is fast becoming a cornerstone of modern technology.

In dentistry, AI currently enhances clinical efficiency and accuracy, particularly in diagnostic imaging, all the while maintaining clinician autonomy. AI software, validated by rigorous testing processes, is consistently learning and training on datasets of millions of X-rays, enabling it to detect and analyze details that even the most observant human eye might miss. This advancement not only aids in disease detection but also supports clinical consistency and boosts patient education and case acceptance.

Enhancing patient education and case acceptance
AI significantly improves disease detection, allowing dentists to catch issues earlier and more reliably. AI software facilitates clear communication between providers and patients. For instance, AI findings can help a hygienist explain areas of concern to patients with easier-to-understand illustrations, thereby increasing case acceptance rates. By visually presenting the progression of disease alongside AI findings, patients can better understand the urgency and necessity of treatments, fostering trust in their provider’s recommendations.

Supporting clinical consistency
AI streamlines dental processes, from issue detection to patient preparation and case presentations. Research indicates that AI assistance results in a 31% improvement in detecting carious lesions and a 15% reduction in erroneous diagnoses. AI-supported image analysis highlights areas for the doctor to review. One critical reminder is that doctors always maintain clinical autonomy—radiographic AI support is a findings tool. Industrywide research of millions of patient records has found a higher level of diagnostic accuracy when a doctor has AI assistance; it’s not the doctor versus AI but the doctor using AI as an adjunct aid that highlights areas of potential concern. These capabilities make AI an invaluable tool for elevating diagnostic precision and enhancing patient care options.

Boosting operational efficiency
AI optimizes dental practice operations by saving time and reducing errors. Features like AI-powered morning huddles enhance preparation and key performance indicators by automatically correlating patient and practice information directly from practice management software. Additionally, automated insurance summaries and verification of benefits facilitated by AI can help team members treatment-plan with greater financial accuracy, increase reimbursements and minimize errors. This operational efficiency allows providers to focus more on patient care and the relational side as a health care provider.


Evaluating AI software for dental practices
Implementing AI technology in dental practices involves several key considerations:
  • Identified needs and objectives. The software must address specific clinical and operational needs.
  • Accuracy and reliability. The AI software’s analysis and output must be accurate and reliable.
  • Features and integration. The software should utilize desired features and integrate seamlessly with existing practice management systems.
  • Ease of learning and use. The software should be easy for clinicians and teams to learn and use.
  • User acceptance. Team members’ buy-in is critical to accepting the technology and integrating it into daily practice.
Evaluating AI in private practices
For private practices, the focus is often on enhancing diagnostic accuracy, improving patient communication and streamlining operations. Evaluating AI software in this setting involves:
  • Pilot testing. Implementing the software in a limited/trial capacity to assess its impact on specific workflows and patient outcomes in the office.
  • Feedback collection. Gathering and sharing input from clinicians and team members to understand the software’s usability and effectiveness.
  • Cost-benefit analysis. Weighing the costs of implementation/use against potential benefits, such as improved patient communication, increased case acceptance and operational workflow gains.
Evaluating AI in multipractice groups
For multipractice groups, the scale of implementation is much larger, requiring a more structured approach to issues such as:
  • Scalability. Ensuring the software can be deployed across multiple locations with diverse technical environments while also having robust IT support and security. It should fit seamlessly into various office workflows.
  • Integration into existing systems. Maintaining clinician autonomy while deeply understanding the change management process to establish habits and buy-in of tools that can raise the level of patient care and outcomes. Consistent review of challenges and solicitation of feedback to foster a cycle of innovation and continuous learning is critical to ongoing success.
  • Support, training and operational excellence. Providing comprehensive training and continual support to ensure high adoption rates and effective use of the technology. As new team members go through onboarding, there must be a robust training plan in place so they don’t fall behind others. Interdepartmental partnerships with high levels of communication are critical to supporting innovation and technology as new features are created and rolled out.

Implementing AI software: The onboarding process

Implementing AI software in dental practices involves several phases, each critical to ensuring successful adoption and integration.

Phase 1: Technical installation
The technical installation phase involves integrating AI software with existing practice management systems. Each site installation is completed using install packages, typically measured in minutes, followed by thorough integration testing. For larger multipractice groups, this phase can last one to four weeks, depending on the number of practices and the complexity of their technical environments.

Phase 2: Onboarding and change management
This phase lasts four to eight weeks and focuses on training providers and staff, developing AI champions within the organization and engaging users through various communication channels. Effective onboarding includes:
  • Training webinars. Conducting live training sessions with interactive Q&As.
  • Digital learning resources. Providing access to online tutorials, learning modules, videos and FAQs.
  • Personal engagement. One-on-one virtual engagements to address specific questions and concerns. On-site office visits also are very beneficial to help address specific concerns, challenges and questions.
Phase 3: Continuous support
After installation, ongoing continuous support is crucial for sustained usage and effectiveness. This includes:
  • Regular check-ins. Monitoring usage and gathering feedback to make necessary adjustments.
  • Ongoing education. Updating training materials and providing refresher courses as needed.
  • Product enhancements. Collaborating with the AI software provider to develop new features based on user feedback.

Heartland Dental’s experience with AI
As senior director of clinical AI and innovation at Heartland Dental, I have firsthand experience with the successful implementation of AI in our supported practices. Heartland Dental’s experience highlights the potential for successful AI integration on a large scale. Within six weeks, Heartland Dental and VideaHealth onboarded AI software across more than 1,500 supported practices, training thousands of providers and their team members.

VideaHealth’s AI software is used primarily for the detection of carious lesions and morning huddle efficiency, but it also aids in identifying other dental pathologies, including periodontal disease, calculus and periapical lesions. By analyzing radiographs with high precision, the software assists clinicians in the doctor’s diagnosis of these conditions earlier and more accurately, improving patient outcomes and consistency of care.

By April 2024, engagement with AI software at Heartland Dental-supported locations rose to daily use of more than 80%. This engagement specifically refers to the active use of Videa- Health’s detection tools in routine dental visits and appointments. Supported clinicians and team members reported enhanced diagnostic capabilities, improved patient education and increased case acceptance rates.

The key to Heartland Dental’s success was meticulous planning and collaboration with VideaHealth. The company formed a dedicated AI team, developed a comprehensive roadmap, and maintained consistent communication and engagement throughout the onboarding process. This approach promoted a smooth transition and high adoption rates across our supported practices.


Practical benefits of AI imaging
AI imaging offers several practical benefits that can transform dental practices:
  • Enhanced diagnostic accuracy. AI enables precise analysis of radiographs, identifying areas that require attention and doctor review.
  • Whole picture insight. AI provides a comprehensive view of patient practice management software data, cross-referencing with relevant research to ensure evidence-based treatment plans and care.
  • Defined clinician autonomy maintained. AI tools offer insights into each patient’s potential needs, reducing human error and confirmation bias, thus enhancing consistency in patient care.
  • Increased case acceptance. AI-enhanced visuals help patients understand their dental conditions better, leading to higher acceptance rates for recommended treatments.
  • Improved efficiency. AI tools streamline workflows, reducing chair time and allowing clinicians to see more patients efficiently. As clinicians, we are in the relationship business, and innovation with AI gives us more time to interact with our patients.

Final thoughts

AI in dentistry offers invaluable decision support and improved patient care opportunities, but its implementation must be approached with a solid understanding of its capabilities and limitations. AI should never replace clinical expertise, but serves as a powerful tool to enhance it. As AI technology continues to evolve, dental practices that embrace these innovations will be well-positioned to lead the industry forward. By integrating AI technology, dental practices can improve diagnostic accuracy, operational efficiency and patient outcomes, paving the way for a new era in dentistry.

Author Bio
 Dr. Seth Gibree Dr. Seth Gibree is the senior clinical director for Heartland Dental, with a focus on artificial intelligence and machine learning. Gibree is a key opinion leader and industry expert with more than 20 years of experience and expertise in strategy, communication, emerging technology, growth, operations, building relationships, leading change and organizational development. Before his time with Heartland Dental, he started and owned multiple multidisciplinary dental practices. Gibree has served on the editorial advisory board of Dentaltown since 2009.


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