Reviewed by Dr Michael Zybutz and Dr Anthony Zybutz, co-founders of David Neal Dental
Artificial intelligence and its applications in dentistry is one of the most talked-about developments in dentistry today, and patients are right to ask what it means for their personal treatment.
As the co-founders of David Neal Dental, we use AI and advanced digital technology extensively to support the planning of both complex dental procedures such as Teeth in a Day dental implants and in our general dental treatments.
But we’re just as deliberate about where we choose not to use it.
In this blog we outline where we use AI to help treat our patients more safely and precisely, and where we believe human assessment, experience and empathy can’t be replaced by machine learning – at least in the immediate future.
Our dental AI philosophy
We approach modern dentistry AI in the same way as any new piece of technology: does it make treatment safer, more precise or more predictable for our patients, without removing the human judgement and accountability that safe dental care depends on?
Our qualified clincians review every AI-assisted tool, whether dental images, radiographic analysis, a design suggestion or a planning recommendation, before it plays any part in a patient’s treatment.
We only adopt new tools where we see a clear benefit to patients in all our dental practices.
We believe technology should enhance our clinical work and personalised approach to patient care.
It should never be used as a substitute for the clinicians themselves.
The benefits of AI in implant dentistry
“I’ve been placing dental implants for over 30 years,” says specialist periodontist, and lead surgeon, Dr Michael Zybutz.
“Successful implant treatment, particularly full arch restoration, depends on an accurate picture of a patient’s bone, nerves and soft tissue before a single incision is made.
“At David Neal Dental we’ve used AI to write our own software to create even more accurate and smooth-running processes,” says Dr Michael.
“AI note-taking systems free clinicians up from time-consuming hand-typed notes during and after consultations, so we can spend more time focusing on our patients face to face and understanding their needs. Conversations are recorded, so nothing gets missed in treatment decisions.
It’s surprising how much additional time it gives us to focus on our patients.”
Radiographic and AI-assisted scan analysis
Cone beam CT (CBCT) scanning gives us a three-dimensional view of a patient’s jaw that standard X-rays can’t provide. AI tools help analyse radiographic data quickly, highlighting bone density, bone volume and the position of nerves and sinuses for the treating surgeon to review and assess in detail.
The software doesn’t make clinical decisions. It provides information faster and more consistently, so the surgeon can spend more time interpreting it to make the best treatment decisions.
In short, AI can help improve accuracy by highlighting areas that may be missed, but diagnostic decisions are always made by our highly qualified and experienced team.
Understanding your medical history and treatment suitability
Part of ensuring a patient is suitable for implant treatment is understanding their overall health and any medical conditions that need to be considered.
“Where a patient has a complex medical history, we always liaise directly with their doctor or medical specialist to confirm it’s safe to proceed,” says Dr Michael.
“That conversation is led by us, clinician to clinician, and is never delegated to an automated system.
“Many patients today are managed on advanced medications, including biologics used to treat auto-immune conditions, cancer and other serious illnesses.
These are complex drugs with implications for surgery and healing. AI-assisted tools can help us pull together relevant information about a medication quickly, so we go into that conversation with a patient’s doctor as informed as possible.
“This doesn’t replace that conversation; it prepares us for it.
The decision on whether it’s safe to proceed always rests with us as clinicians, working directly with the patient’s wider medical team, not with any software.”


