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AI in Dentistry: Opportunities and Challenges

May 27, 2026

Niam Yaraghi

Niam Yaraghi

Associate Professor of Business Technology at Miami Herbert Business School at the University of Miami

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Artificial Intelligence is making a profound impact across numerous industries, and dentistry is no exception. From AI-powered scheduling to diagnostic aids that analyze dental radiographs, AI is transforming dental care delivery.

Artificial Intelligence (AI) is making a profound impact across numerous industries, and dentistry is no exception. From AI-powered scheduling tools that optimize appointment management to diagnostic aids that analyze dental radiographs, AI promises to revolutionize the way dental care is delivered. However, like any technology, it comes with its own set of challenges. This blog explores both the potential applications and risks associated with AI in the dental industry.

Practical Applications of AI in Dentistry

Diagnostic Assistance and Imaging Analysis

AI algorithms can analyze X-rays, CT scans, and intraoral images, providing real-time insights into conditions like cavities and gum disease. Tools like Pearl's Second Opinion improve diagnostic accuracy, reducing errors and giving clinicians a reliable second set of eyes on every image.

Automated Appointment Management

Smart scheduling algorithms can predict no-shows, fill last-minute cancellations, and balance provider workloads automatically — saving front-desk teams hours every week and keeping chair time maximized.

Challenges of AI in Dentistry

Despite its promise, AI adoption in dental practices faces real barriers. Data privacy regulations, the need for large high-quality datasets, and practitioner resistance to algorithmic recommendations all slow deployment. Understanding these challenges is essential for any practice considering AI tools.

Conclusion

AI is not replacing dentists — it is giving them better tools. The practices that embrace these technologies thoughtfully will deliver better care, run more efficiently, and serve more patients. The key is choosing tools backed by clinical evidence rather than marketing claims.

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