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AI Insights from Pearl

10/16/2024
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6 min. to read

Artificial intelligence (AI) is transforming dentistry. From diagnostics to streamlining operations, AI is enhancing the way dental practices operate. To better understand AI’s role in dentistry, we spoke with Sheela Roth, Head of Clinical Education at Pearl.  Pearl is pioneering AI applications in dental care. Sheela’s perspective, coupled with a case study from Pearl, provides examples of how AI is reshaping the dental landscape—offering not just potential but proven results in patient care and practice efficiency.

Sheela Roth
Head of Clinical Education
What do you see as the top applications of AI in dentistry today? Two years from now?

“The most impactful AI applications in dentistry today are radiologic. The utility and simplicity of chairside tools like Pearl’s Second Opinion – which enhance the accuracy and consistency of diagnosis and case presentation at a fundamental level – have given AI a strong foothold in the dental future. Even where the applications incline toward practice management, the best rely on radiologic AI analysis of patient x-rays in conjunction with treatment information in patient records. Two years from now, we’ll see more of those computer vision-driven pathology detection and treatment planning capabilities integrated with more advanced digital dentistry tools like CBCT and CAD/CAM systems. AI will also be expanding into more predictive and preventive functions in diagnosis and treatment planning, while facilitating real-time adjudication of insurance claims and clinical training in dental schools.”

What are the biggest benefits to AI in dentistry that too many are missing out on?

“Too many dentists are missing out on every benefit of AI, because the vast majority of dentists in the world have yet to implement the technology. The pace of AI adoption in dentistry is accelerating rapidly, however, and that’s principally due to its impact as a diagnostic and case presentation aid. On average, dentists who use Pearl’s Second Opinion when reading and presenting x-rays to patients detect 37% more disease and increase case acceptance by 30%. Among those who are already using radiologic AI, there are many who are not yet leveraging AI for its extended benefits within the operational sphere. A tool like Practice Intelligence, which automatically identifies unmet clinical needs within a practice’s patient population, is regularly used to inform daily planning and morning huddles––but practices that aren’t using it across growth-oriented functions like marketing, patient recall and insurance verification are missing out on AI’s full value.”

Should smaller practices be pursuing AI any differently than larger group practices?

“AI is inherently scalable, offering consistent benefits across practices of any size. For single practices, AI enhances radiologic accuracy, boosts patient trust, and improves operational efficiency, leading to more productive chair time and streamlined insurance processes. These benefits scale seamlessly as practices grow. Small practices can easily integrate AI due to their smaller staff, whereas DSOs may face resistance from AI users who are not the direct buyers. To address this, Pearl has integrated its AI into existing software platforms, embedding AI into daily operations without disrupting workflows.”

How should practices evaluate which AI services/providers are best for them?

“When evaluating AI services, practices should start by focusing on how well the AI integrates with their existing systems and whether it enhances day-to-day operations without adding complexity. They should then identify their specific needs—whether it’s enhancing diagnostics, improving workflow efficiency, or boosting patient engagement. Key questions to ask include:

Does the AI integrate seamlessly with my existing imaging system? How easy is it to implement and train staff on the new tools? What is the provider’s track record in the dental industry? By tuning into these differentiators, practices will select an AI solution that aligns with their goals for both effectiveness and ease of use.”

What are the biggest challenges for AI solution providers?

“The biggest challenge for AI solution providers in dentistry is achieving interoperability within a fragmented software ecosystem. With hundreds of different imaging and practice management systems in use worldwide, AI systems must access, normalize, and interpret data from these disparate and often outdated platforms. Pearl has tackled this challenge by forging strategic partnerships with software companies worldwide, ensuring seamless integration and data accessibility. Our focus on interoperability and standardization has allowed Pearl to deliver AI’s consistent, scalable benefits to more dental practices of all sizes around the world than any other AI provider.”

Case Study

Rand Center for Dentistry

Situation:

Rand Center for Dentistry, a large multi-practice in New Jersey, faced a challenge maintaining incremental growth while operating at full capacity. Despite adding periodontal care to its specialty services, the practice struggled to achieve desired growth due to lower-than-expected rates of periodontal diagnosis. To address these issues, owner and founder Dr. Elliot Rand sought a solution that could tackle three core challenges: improve diagnostic consistency, increase patient acceptance of treatment plans, and boost the confidence of younger associate dentists and hygienists.

Task and Approach:

In May 2023, Rand Center for Dentistry implemented Pearl, an AI-driven dental software. The team selected Pearl for its superior capabilities in pathology detection, particularly in identifying carious lesions and periodontal conditions. Pearl was seamlessly integrated into the practice’s clinical workflow, providing real-time radiographic analysis during patient consultations, as well as practice-wide clinical insights based on AI analysis of historical patient imagery and treatment records. The team utilized Pearl to colorize areas of concern on X-rays, transforming grayscale images into clear, visually informative clinical guides. This approach helped patients understand the severity of their conditions, shifting conversations from “let’s watch this tooth” to “let’s treat this issue now.” The practice also used Pearl to measure and track clinical metrics, offering insights into the performance of individual providers and the overall practice.

Results:
  • Practice treatment acceptance rate jumped from 37% to 44%; exceeding the 35% national average.
  • PPV for general practitioners increased from an average of $460 to $520, yielding nearly $150,000 in the first month.
  • Periodontal disease detection rate doubled from 7% to 14%, with a projection to reach 18% by year-end.

Overall, the adoption of Pearl’s AI dental software directly addressed the initial challenges faced by Rand Center for Dentistry, leading to improved diagnostic consistency, increased treatment acceptance, and bolstered confidence among clinical staff. These advancements have not only enhanced patient care but also driven meaningful growth for the practice, particularly in its periodontal specialty services.

Learn more about what Pearl can do for you.

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