Aipedia: Dentists
AI screening tools can flag suspicious lesions or periodontal risk, but a clean result must never replace the dentist's own examination and referral judgement. Delayed diagnosis claims can be among the most serious in dentistry, and false reassurance from software is a new route to them.
Part of: AI in Dentists
In short
Image-based AI tools score photos of the oral mucosa for suspicious features, and periodontal tools combine charting and radiographs into a risk score. GDC standard 7.2 requires dentists to work within their competence, and 4.1 requires records that show the clinical reasoning. GDC-commissioned research in October 2026 found AI least reliable in image-based tasks and warned that tools can give confident but wrong answers. The main risk is false reassurance: a low score leads to a missed referral. Indemnity usually responds to a delayed diagnosis claim against the dentist, but notes recording why an AI flag was accepted or overridden are central to defending it.
Two types of tool are available. Lesion triage tools analyse intraoral photographs and rate how suspicious a white, red or ulcerated area looks, sometimes recommending review or referral. Periodontal risk tools combine pocket charting, bleeding scores, bone levels from radiographs and medical history into a risk category and suggested recall interval. Hygienists and therapists may use these tools as much as dentists, because they can see many patients for routine soft tissue checks and periodontal care.
The attraction is consistency: a tool applies the same criteria to every photo and chart. The danger is that a tidy score feels more objective than a clinician's impression, so it is easy to let a low result end the conversation. Risk scores can also feed directly into AI treatment plans and recall intervals without anyone revisiting them.
The GDC's October 2026 research on AI in dental education found that AI may weaken clinical reasoning, that tools can give confident but wrong answers, and that AI was least reliable in image-based areas.
Illustrative scenario: at a routine check a hygienist photographs a persistent white patch on the lateral tongue. The AI tool rates it low risk, and the note says "lesion photographed, AI low risk, review next recall". Nobody records size, texture, duration or the patient's smoking history, and the dentist does not see it. At the next recall the lesion has changed and the patient is referred urgently. The claim alleges that an earlier referral would have changed the outcome.
Periodontal tools carry a slower version of the same risk: a low risk score leads to a long recall and limited treatment while bone loss progresses.
A delayed diagnosis claim is usually brought against the clinician who examined the patient, and possibly the dentist responsible for supervision, and it is defended on the clinical merits and the records. Compulsory dental indemnity usually responds, subject to its terms. One defence organisation's published position on AI says help is available only where a human remains the decision maker. A note that simply copies the AI result suggests the tool decided. One defence organisation's AI framework includes a RECORDS checklist for documenting the role AI played and the clinician's decision, which is a useful model. See our guide to what to document about AI use.
Related: AI radiograph analysis, AI and the dental team, telling patients you use AI and the dentistry AI hub.
Apex arranges indemnity for dentists and dental care professionals. A broker reviews how your cover responds to screening decisions supported by AI, for each member of the team.
Only if your own examination supports that. A low AI score should not override your clinical findings or usual referral criteria. Record what you saw, the AI result and why you decided to monitor or refer.
There is no GDC rule requiring it yet, but openness supports valid consent and trust. If a tool contributed to a decision to monitor or refer, explaining that, and that you made the final decision, helps the patient understand what happened and why.
Record the AI result, your own findings, what you decided and why. That shows a human made the decision, which matters for how indemnity responds and for any later review of the case.
Yes, within their scope of practice and training. They should know how to escalate a concern to the dentist, and the practice should make sure each team member's indemnity covers the tasks they carry out.
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