Is AI Actually Good for Oral Healthcare?

AI tools have the ability to identify decay years earlier, cut administrative costs, and reshape how dentists deliver care, but is all this technology truly positive progress for oral healthcare?

By Genni Burkhart, Editor

This is Part 1 of a two-part series on artificial intelligence in dentistry.

Forty years ago, researchers were trying to teach machines to simply read dental X-rays. For most of that time, the results were slow and confined to research settings. However, within the past decade, there's been significant progress in machine learning. Artificial Intelligence (AI) tools now work in daily clinical settings, and dentistry, or healthcare in general, is working through what that means for patients, practices, and the profession.

The short answer is that AI is doing measurable good in dentistry right now. Yet, the longer answer involves more perspective. It matters who's using it, where it works best, and how far the evidence actually reaches.

Earlier Detection, Clearer Diagnoses

At the inaugural Global Symposium on AI and Dentistry at Harvard School of Dental Medicine in 2023, more than 400 dental practitioners, researchers, students, and policymakers from 30 countries gathered to take stock of where the field stands. VideaHealth CEO Florian Hillen, whose company was founded on AI research at Harvard and MIT, told attendees that AI-powered tools are helping dentists detect decay up to 5 years earlier than traditional methods. Harvard School of Dental Medicine Dean William Giannobile also stated that, "AI holds the promise of transforming the way we practice oral healthcare, pinpoint and treat diseases and conditions, and increase equitable access to care and treatment."

That early-detection capability is grounded in how AI reads radiographic images. Unlike a clinician working from pattern recognition built over years of training, AI algorithms actually process images against datasets drawn from hundreds of thousands of cases, flagging findings a human eye might miss.

Benjamin Crockett, DMD, MS, teaches AI-assisted radiology at the University of Colorado School of Dental Medicine and uses it to help students understand both its value and its limits. He notes that AI can flag issues early that might not be easily visible, and that it operates on data rather than personal experience or bias, which supports more consistent diagnostic accuracy and reduces missed findings.

He's equally clear about how clinical, human judgment remains essential. AI produces false positives and false negatives, and dentists need training to recognize when they occur.

Treatment Acceptance

AI's impact in practice isn't limited to the clinical side. Lynn Doan, DDS, owner of The Dental Bar in Aurora, Colorado, uses AI to show patients exactly where decay, calculus, or bone loss appears on their X-rays, turning what's normally a black-and-white image into something patients can actually see and understand. With this, she reports that most patients schedule treatment before they leave the office.

However, AI's value doesn't stop at the chair. When a claim is denied, before-and-after radiographs and precise quantification of findings give practices clearer evidence on appeal, and Doan notes that the level of detail makes it harder for insurers to deny the claim. Furthermore, the administrative gains are real. Practices using AI report 20 to 40% reductions in back-office workload, fewer claim denials, and faster reimbursement. In fact, patient communication tools are cutting no-show rates by 15 to 30%, and automated scheduling is giving front-desk staff more time for patients.

Powerful Pediatric Tool

Pediatric dentistry is one of the areas where AI's clinical range is most visible. Machine learning platforms identify interproximal caries, enamel demineralization, and eruption abnormalities on radiographs before they surface clinically. Predictive tools analyze recall patterns, fluoride exposure, caries history, and socioeconomic variables to flag which children carry the highest risk of future decay, allowing practices to personalize preventive protocols and intervene earlier.

Barry Lyon, DDS, director of provider recruiting and onboarding at Dental Care Alliance, points to that predictive capacity as central to dentistry's preventive mission. For a field where early intervention defines long-term outcomes, identifying which children are most likely to develop decay or miss recall appointments gives clinicians a meaningful head start. However, AI's role in pediatric dentistry extends beyond diagnostics. Behavior management has always depended on a clinician's ability to read and manage anxiety during procedures. AI-enhanced virtual reality (VR) distraction systems and emotion recognition tools are in further development to help clinicians better anticipate a child's anxiety level and improve the overall experience for the patient and provider.

Who's Actually Using AI in Dentistry

A May 2026 survey of 300 dentists across the U.S., United Kingdom, and Canada found 32% are already using at least one AI tool, with another 38% considering it. Radiograph analysis leads, followed by treatment planning software. Among dentists evaluating tools, 70% expect to adopt within 12 months. The dental AI market is projected to reach $11.3 billion by 2030, with an annual growth rate of 37.9%.

However, uptake varies significantly across practice types. Group practices and DSOs show the highest rates because they have larger technology budgets, dedicated IT support, and more standardized workflows. The truth is, independent practices face real cost and integration barriers to the same outcomes, and about 40% of dentists who start using AI tools stop within 90 days. The top reasons are cost, poor integration with practice management software, and unreliable results. Dentists in academic and hospital settings show higher familiarity with AI, largely because of exposure during training. In fact, education is where AI adoption starts.

Can AI Save Lives?

The FDA recently cleared the first AI-based early warning system for sepsis, developed at Johns Hopkins University and commercialized by Bayesian Health. The platform continuously monitors hospitalized patients and flags sepsis up to 48 hours before a clinician would suspect it. In a study covering more than 764,000 patient encounters at five U.S. hospitals, patients whose clinicians acted on those alerts were 18% less likely to die. That clearance confirms that AI-based clinical decision support can meet FDA standards for patient safety when it's rigorously validated, and the American Dental Association (ADA) is already developing standards for AI in dental practice, including the U.S. position on the first international standard on AI in dentistry.

Where Dentistry Goes From Here?

The arrival of X-rays, anesthesia, and digital imaging each brought skepticism, inconsistencies, and legitimate questions about safety and access. AI is no different. The concerns about cost, reliability, data privacy, and patient safety are real and deserve the same scrutiny applied to every other area of clinical practice.

Ethics, regulations, and professional accountability have a significant role in adapting the ethical use of AI in healthcare. And while there's been progress on that front, the ADA's work and the FDA's clearance process are the beginning of that framework, not the end. Yet it is promising that as the ethical evidence builds, AI is detecting disease earlier, improving diagnostic accuracy, and helping patients understand and act on their best outcomes. As such, AI is simply a tool, and that tool will never replace human decision-making. It simply improves where the clinician's decision-making starts.

In Part 2 of this series, the Incisor examines who AI in dentistry is actually reaching, the patients the research has largely skipped, what algorithmic bias means for clinicians, and what can be done to make sure AI works for every patient, not just the ones who are easiest to reach.

Author: With over 16 years as a published journalist, editor, and writer, Genni Burkhart's career has spanned politics, healthcare, law, business finance, technology, and news. She resides in Northern Colorado, where she works as the editor-in-chief of the Incisor at DOCS Education.