Could Artificial Intelligence Help Us to Predict the Effectiveness of Dental Implants?

Artificial intelligence is making a big impact on the world, and the world of dentistry is benefiting too. New research has found that it could be possible to accurately predict among people with dental implants who can recover from peri-implantitis, which is a common issue for those with dental implants.

Dental implants are a popular dentistry treatment that involves using a natural-feeling and looking tooth to replace a lost or damaged tooth.

For those who have lost or missing teeth, implants can be a fantastic solution. But despite being intended to last long-term, many implants do not.

One of the main causes of this is peri-implantitis. This is an inflammatory process that results in eventual loss of dental implants. However, it is not always clear who can recover from peri-implantitis.

But now, recent research has yielded an algorithm named FARDEEP. FARDEEP seems to be able to help predict treatment outcomes for peri-implantitis. FARDEEP is an example of artificial intelligence, and could help to make dental implants far more successful.

What Are Dental Implants?

Dental implants are typically used to replace a lost or missing tooth. They are usually needed because of advanced gum disease or extreme tooth decay.

Implants are meant to last for a long time. However, studies have found mixed results. For example, there is a 90-95% success rate over 10 years for dental implants [1].

Implants are practical, offer aesthetic and functional tooth replacements. But, peri-implantitis is a common cause of dental implants not working properly.

A recent study found that a process called “biofouling” could help to prolong the life of implants [2](click here to know more). Now, it appears that artificial intelligence will also help dental implants to be more effective.

What is peri-implantitis?

Peri-implantitis is an inflammatory process that causes the tissue and bone around dental implants to become infected. Peri-implantitis can be very damaging to overall oral health. For instance, progressive bone loss, bleeding, pus and eventual loss of the implant are potential consequences [3].

Consequently, it becomes difficult to then put a new implant in place due to the poor bone quality around the area.

The causes of peri-implantitis aren’t always clear. Patients who smoke or have a history of periodontal disease are at higher risk of developing the condition [4].

Treating peri-implantitis is difficult and unpredictable. Reconstructive therapy is currently the treatment used. However, it is not always successful. Moreover, it is both expensive and time-consuming.

Because of the impact of peri-implantitis, and its poor treatment outcomes, researchers have been searching for ways of better predicting the effectiveness of treatment for each individual patient.

What is FARDEEP?

A team of researchers led by the University of Michigan School of Dentistry have been able to develop a machine-learning algorithm. They believe this can help to predict who will be able to recover from peri-implantitis, and who can’t [5].

FARDEEP is an example of the use of artificial intelligence in dentistry. FARDEEP stands for Fast and Robust Deconvolution of Expression Profiles.

In order to develop the algorithm, the researchers analyzed tissue samples from a group of patients that were receiving reconstructive therapy for peri-implantitis [5]. Furthermore, they then looked at how much harmful bacteria and infection-fighting immune cells were available in each sample [5].

Using this information, the researchers were then able to develop the algorithm. Overall, the researchers found that patients that had a high amount of immune cells were at lower risk of periodontal disease [5]. As a result, this means that they are likelier to have success with treatment.

In the long-term, the researchers are hoping that they will be able to use this algorithm across dentistry to help those with peri-implantitis. As a result, it should mean that dental implants can become longer-lasting, and more effective.

What this means for dental implants

The algorithm has a potential to have a big impact on dentistry. Jeff Wang, a Clinical Assistant Professor at the University of Michigan, spoke about his hopes. He declared that the algorithm could help to “determine the best course of treatment” for peri-implantitis [3].

He said that this would typically involve either going through reconstructive therapy, or replacing an old implant with a new one [3]. Wang said that in the future, it could be possible to predict the risk posed by peri-implantitis before a dental implant is placed [3].

Wang cautioned that human clinical trials will be needed before FARDEEP could be used by clinicians [3]. This will be a long process, but it could have a very positive impact if implemented in the future.

FARDEEP is the latest example of the use of artificial intelligence in dentistry. Data is being used in exciting ways. As seen in this study, scientists are predicting that an artificial intelligence-based care system will result in more informed and accurate/effective decision-making and a higher quality of care [6].

What we offer at Savanna Dental

Savanna Dental is a dental clinic based in Calgary, Alberta, Canada. We provide our patients with a warm welcome, a comfortable experience and advice whenever needed.

We recommend that our patients attend our Calgary-based dental clinic twice a year for a regular dental check-up. When problems are detected, we have many treatments available. For instance, these include cavity fillings and root canals.

Importantly, we recommend brushing your teeth at least twice a day and flossing regularly. Moreover, eating healthily and trying to avoid sugary foods and drink is helpful.

In addition, all of our services at our Calgary dental clinic Savanna Dental are in line with the Alberta Dental Fee Guide.

We would love you to visit our Savanna Dental dental clinic in Calgary! You can find out more about us by visiting our website https://savannadentalclinic.ca.

• [1] Raikar, S., Talukdar, P., Kumari, S., Kumar Panda, S., Oommen, V. M., & Prasad, A. (2017). Factors Affecting the Survival Rate of Dental Implants: A Retrospective Study. Journal of International Society of Preventive & Community Dentistry. 7 (6), p351-355.
• [2] Lehnfeld, J., Dukashin, Y., Mark, J., White, G. D., Wu, S., Katzur, V., Muller, R., & Ruhl, S. (2021). Saliva and Serum Protein Adsorption on Chemically Modified Silica Surfaces. Journal of Dental Research. 100 (10): p1047-1054.
• [3] Bailey, L. (2021). AI helps predict treatment outcomes for patients with diseased dental implants. Available: https://news.umich.edu/ai-helps-predict-treatment-outcomes-for-patients-with-diseased-dental-implants/. Last accessed: 5th November 2021.
• [4] Roos-Jansaker, A. M. (2007). Long time follow up of implant therapy and treatment of peri-implantitis. Swedish Dental Journal. 188 (1): p7-66.
• [5] Wang, C. W., Hao, Y., Di Gianfilippo, R., Sugai, J., Li, J., Gong, W., Kornman, K. S., Wang, H. L., Kamada, N., Xie, Y., Giannobile, W. V., & Lei, Y. L. (2021). Machine learning-assisted immune profiling stratifies peri-implantitis patients with unique microbial colonization and clinical outcomes. Theranostics. 11 (14): p6703-6716. Available: https://www.thno.org/v11p6703.htm.
• [6] Chen, Y-W., Stanley, K., Att, W., & Dent, M. (2020). Quintessence International. 51 (3): p248-257.