--- title: "AI in dentistry: what the research says so far | Copeland Consulting Services" description: "A plain summary of two peer-reviewed reviews and an ADA report on AI in dentistry: where it is used, how well it works, and the limits that remain." url: https://joncopeland.multisites.ai/blog/ai-in-dentistry-research publisher: Copeland Consulting Services email: drcopeland@joncopelanddds.com contact: https://joncopeland.multisites.ai/contact --- # AI in dentistry: what the research says so far Two peer-reviewed reviews find that most dental AI work is image-based diagnosis, with promising results in experimental settings and open problems in data quality, bias, generalization, privacy and liability. The ADA describes AI as a tool that aids clinicians, and says human judgment stays essential. Standards are still being written. Clinical and technologyPublished October 26, 20264 min read This post summarizes published research for general education by Copeland Consulting Services. It is not clinical, legal or purchasing advice. ## What does AI mean in dentistry? It means software that learns patterns from data and applies them to new cases. A 2023 review in Frontiers in Dental Medicine defines AI as “the ability of machines to perform tasks that normally require human intelligence.” Dental tools usually rely on machine learning, which learns from examples that people have labeled. The term [artificial intelligence in dentistry](https://joncopeland.multisites.ai/glossary/artificial-intelligence-in-dentistry) covers those tools. The ADA draws one more line. In ADA News, artificial intelligence refers to intelligence shown by machines. Augmented intelligence “retains elements of human intelligence” and acts as a tool that assists the clinician. The ADA white paper uses both terms. ## Where is AI used in dentistry? Mostly in image analysis. The 2023 review says most dental AI applications are for diagnosis from radiographic or optical images. Other tasks are harder because of limits in data availability, data uniformity and computing power for 3D data. The 2025 review in Medical Science Monitor covers more ground. It examines endodontic disease, periodontal disease, implantology, orthodontics, prosthodontics, and oral and maxillofacial surgery. It reports uses across prevention, screening, diagnosis, treatment planning, follow-up and prognosis. The ADA lists further areas. They include treatment planning software, robotics, virtual and augmented reality, predictive analytics, and administrative support such as scheduling and billing help. The ADA frames these as areas being developed and used, not as settled practice. ## How well does it work? Results look promising in studies, and the reviews are careful about what that means. The 2025 review says AI in dentistry “remains in its nascent stages, characterized by high precision in experimental settings,” while it “faces challenges in terms of clinical accuracy and reliability.” The 2023 review says some studies show AI with “the same accuracy or even better compared with dentists” in early lesion detection. It ties that result to close work between clinicians and computer scientists, who label the images and then check the output together. Read both statements together. Accuracy in a study does not guarantee the same accuracy in your office. The table lists the limits that the reviews name. Limit What the reviews say Labeled data Models need many accurately annotated images. Manual labeling is slow and costly. Generalization Models that depend on specific data “often underperform in new environments.” Data quality Records can be incomplete or skewed toward one population or health system. Bias Learning algorithms can carry bias from their training data. Explainability Some clinicians hold back because the “black box” cannot explain a result. Privacy and liability Data privacy rules and malpractice questions remain open. Sources for the table are the 2025 review and the 2023 review. ## Will AI replace dentists? Neither review nor the ADA describes that outcome. The 2025 review says AI systems should “complement” and “enhance clinical decision-making without supplanting the nuanced judgment of experienced clinicians.” The ADA quotes the chair of its Council on Dental Practice: “human expertise and clinical judgment remain essential.” The 2023 review calls AI “a supplemental tool” that may reduce workload and improve precision, if training data is unbiased and the algorithm is properly trained. The condition matters. It is a reason to ask any vendor how a tool was trained and tested. ## What do the reviews say about specific clinical areas? The 2025 review tells the story area by area. For caries, it says detection from images depends heavily on clinician experience, and that AI is increasingly used to improve detection and diagnosis from captured images. For periapical disease, it reports deep learning studies of lesion detection on radiographs. For periodontal disease, it reports models that measure bone levels and interpret panoramic images. In implant dentistry, the review reports that AI helps with identifying implant types from radiographs and with presurgical digital planning. It calls AI algorithms “potent diagnostic tools” in this field. The 2023 review sorts the evidence by discipline: operative dentistry, periodontics, orthodontics, oral and maxillofacial surgery and prosthodontics. In each, the studies it describes focus on images. Both reviews are narrative reviews. A narrative review summarizes the field but does not pool study results the way a meta-analysis does. Read their numbers as examples, not as a scorecard. For detail on one area, see the post on [AI and dental X-rays](https://joncopeland.multisites.ai/blog/ai-dental-radiographs-evidence). ## What role do standards play? They set shared rules for safety, privacy and ethics. In 2023 the ADA said it was developing a technical report and standard for image analysis systems that use AI, and the U.S. position for an international standard. It listed reasons standards matter: patient safety, data privacy and security, ethical considerations such as transparency and bias, interoperability, and training. Standards are still developing, so a team has to judge tools without a full rulebook. The ADA digital dentistry page lists its AI resources and white paper for that purpose. ## Questions a practice can ask before adopting any AI tool 1. What data was the tool trained on, and does it resemble the practice’s patients? 2. Was it tested outside the group that built it? 3. Who reviews its output, and who decides what to do with it? 4. Where does patient data go, and does the vendor sign a [business associate agreement](https://joncopeland.multisites.ai/glossary/business-associate-agreement)? 5. How would a wrong result be caught? See [HIPAA](https://joncopeland.multisites.ai/glossary/hipaa) for the privacy rules behind question 4. For a deeper look at tool types, see the post on [AI scribes](https://joncopeland.multisites.ai/blog/ai-dental-scribe-questions) and the post on [AI and dental X-rays](https://joncopeland.multisites.ai/blog/ai-dental-radiographs-evidence). ## Next step The [AI in the dental practice guide](https://joncopeland.multisites.ai/guides/ai-in-the-dental-practice) covers uses, evidence and risks in more depth. To discuss a related project, [contact Dr. Copeland about consulting](https://joncopeland.multisites.ai/contact?topic=consulting). ## Frequently asked questions ### Is AI going to take over dentistry? The reviews and the ADA describe AI as a tool that supports clinicians, not a replacement. One 2025 review says AI should complement clinical decision-making without supplanting the judgment of experienced clinicians. The ADA says human expertise and clinical judgment remain essential. ### Where is AI used most in dentistry today? A 2023 review in Frontiers in Dental Medicine found that most dental AI applications are for diagnosis based on radiographic or optical images. Other tasks are less common because of limits in data availability, data uniformity and computing power for 3D data. ### What are the main limits of dental AI? A 2025 review lists inaccurate data annotation, limited capability for fine-grained features, a lack of universally applicable models, potential bias in learning algorithms, and legal risks tied to malpractice and data privacy. These limits affect how far results can be trusted outside a study. ## Terms on this page - [Artificial intelligence in dentistry](https://joncopeland.multisites.ai/glossary/artificial-intelligence-in-dentistry) - [Business associate agreement](https://joncopeland.multisites.ai/glossary/business-associate-agreement) - [Digital dentistry](https://joncopeland.multisites.ai/glossary/digital-dentistry) - [HIPAA](https://joncopeland.multisites.ai/glossary/hipaa) - [ADA](https://joncopeland.multisites.ai/glossary/ada) ## Sources 1. [Medical Science Monitor (PMC): Artificial Intelligence in Dentistry, A Narrative Review of Diagnostic and Therapeutic Applications (2025)](https://pmc.ncbi.nlm.nih.gov/articles/PMC11992950/) 2. [Frontiers in Dental Medicine (PMC): Artificial intelligence in dentistry, A review (2023)](https://pmc.ncbi.nlm.nih.gov/articles/PMC11811754/) 3. [ADA News: Artificial intelligence and dentistry (June 7, 2023)](https://adanews.ada.org/ada-news/2023/june/artificial-intelligence-and-dentistry/) Written by Copeland Consulting Services and checked against the sources above on October 26, 2026. Rules, data and guidance change, so check the linked page before you act on it. ## Keep reading - [AI in the dental practice: what it does, what studies show and what to checkAI in dentistry mostly means software that reads images or handles office tasks. Studies of radiograph tools show promising accuracy but often rest on weak designs. Some image tools are regulated by the FDA as prescription devices. Any tool that touches patient data raises HIPAA questions you should settle before use.](https://joncopeland.multisites.ai/guides/ai-in-the-dental-practice) - [AI and dental x-rays: what the evidence shows so farTwo peer-reviewed reviews report promising AI results for finding caries, periapical lesions and bone loss on dental radiographs. They also say most results come from experimental settings and note problems with data labeling, bias, and models that underperform on new data. The evidence supports AI as an aid to the clinician.](https://joncopeland.multisites.ai/blog/ai-dental-radiographs-evidence) - [AI scribes for dental notes: questions to ask a vendorAn AI scribe listens to a visit and drafts notes, so it handles patient information. HHS says a vendor that creates, receives, maintains or transmits protected health information for a practice is generally a business associate, which calls for a written agreement. Ask about data use, storage, errors, review, and exit terms before signing.](https://joncopeland.multisites.ai/blog/ai-dental-scribe-questions) - [Dental practice ownership: buying, starting, valuing, selling, associates and DSOsDentists reach ownership by starting a practice, buying one, buying in as a partner, or working as an associate or for a DSO first. ADA data show 73 percent of dentists owned a practice in 2023, down from 85 percent in 2005. Each path needs an attorney, a CPA and often a lender or broker.](https://joncopeland.multisites.ai/guides/dental-practice-ownership) - [Dental technology ROI: how to evaluate a purchase before you signTo evaluate a dental technology purchase, name the problem it solves, list every cost beyond the price, check what independent studies say, plan training and workflow changes, then set a review date with measures chosen before you buy. A return figure is only as good as the inputs you can verify.](https://joncopeland.multisites.ai/guides/dental-technology-roi) - [DSOs and private practice: models, data and questions to askA dental support organization (DSO) manages some or all of a practice's nonclinical work, such as billing, marketing and human resources. ADA data show 16.1% of U.S. dentists were DSO-affiliated in 2024, and 27% of those under 10 years out of school. Each model has trade-offs.](https://joncopeland.multisites.ai/guides/dso-vs-private-practice-guide) ## Talk with Dr. Copeland [Contact Dr. Copeland](https://joncopeland.multisites.ai/contact)[Email](mailto:drcopeland@joncopelanddds.com)