CATEGORY 104 AUSTRALASIAN DENTIST What can AI do for dentistry? From fostering a more convenient patient experience to ensuring better and faster treatment to becoming an extra — or even more reliable — set of eyes, AI has the ability to elevate the standard of care. The implementation of AI technology in dentistry is likely to revolutionize the profession, benefiting both patients and clinicians. AI can assist dentists in accurately diagnosing dental issues such as caries. AI has been shown to have a very high accuracy rate in caries detection through X-rays and photographs6-7. Additionally, AI can help detect oral cancer8, which can be life-threatening if left untreated but can be well-managed when detected early. The technology can also help improve therapeutic decision-making and planning complex surgical treatments. Furthermore, AI can automate administrative tasks like charting and reporting, saving time for both the dentist and the patient. Ultimately, the incorporation of AI in dentistry has the potential to enhance the patient experience, as surveys have shown that patients have a low satisfaction rate with their dental experiences9. AI-powered orthodontics: the future of orthodontics In orthodontics, treatments are lengthy and require a close follow-up and patient compliance, making it challenging for both the patient and the orthodontist. However, the integration of AI with remote monitoring could be a game changer in this field. AI-powered monitoring systems can track patient progress, assess treatment effectiveness, and provide realtime alerts to the orthodontist in case of any issues. These systems can also motivate patients to comply with treatment by sending reminders, rewards, and personalized treatment plans. DentalMonitoring (DM): The first AI-powered remote monitoring in the world Breaking down the DM process in 4 simple steps: To start the treatment, patients download the DM app and use the Scanboxpro to take standardized high-quality intraoral tier intraoral scanner. The study concluded that digital dental models generated by the DM smartphone application are accurate enough to be used for clinical applications. The technology simply requires a baseline initial STL file generated by the intraoral scan. When the patient scans at home (DM scan) the photos are used to create a new updated STL file with the new teeth positioning. With every new DM scan, the exact position of teeth is computed enabling teeth movement to be quantified. (Fig 5) This is particularly interesting for following the kinetic of treatment for fixed appliances to know, for example, when the wires have become passive or when the expanders have stopped working and need activation. In addition, this same technology allows the orthodontist to generate STL files remotely for different use cases: mid-course correction in aligners, a transition between active treatment and retention (retainers can be prepared in advance and ready for the debonding day), etc. Leveraging DM AI to help clinicians make the best decision The orthodontic community agrees that there is more to treating a patient than just tracking their teeth movements. DM has developed neural networks that are capable of analyzing over 130 clinical situations (including hygiene, gum disease, appliances, and tooth movement), in realtime. This enables doctors to monitor their patients’ treatments holistically and synchronize the need for care with its delivery. All of these innovations are powered by data, thanks to what is now the largest dental image database in orthodontics with over 1.5 billion images. Conclusion AI is a very powerful tool that will transform the way orthodontists treat patients. It can empower clinicians with the capability to efficiently analyze vast amounts of data, enabling them to make better-informed decisions and tailor treatment plans that can significantly enhance clinical outcomes. The ability of AI to leverage extensive amounts of data can enhance the accuracy of clinical decisions, augment the personalization of treatment for patients, streamline workflow, and liberate valuable time for clinicians. Therefore, AI presents a unique opportunity for clinicians to improve the standard of care provided to patients while remaining in control of treatments at all times. u Contact gapmagazines@gmail.com for a complete list of references pictures with their smartphone. The pictures are sent to DM’s platform for analysis by AI, which consists of two layers: u Technical AI, which is a succession of neural networks that aim to screen and standardize the photos, segment the teeth, and label them (Fig 3). u Clinical AI, which through a large number of unique neural networks, analyzes over 130 clinical parameters of different levels of severity (Fig 4). Fig 3: Teeth segmentation and labeling Fig 4: Examples of clinical situations detected by the AI u Finally, the system automatically creates a report based on the clinician’s custom, automated settings and communicates the information and instructions to the dental team and patients through the dashboard and app, following pre-set protocols customizable by the orthodontist. 3D monitoring technology – a first in the world of orthodontics: For the first time in the history of dentistry, STL files can be generated remotely simply using smartphone pictures. This technology, which has been under development for the past 5 years by DentalMonitoring, leverages optimization algorithms to transform 2D images generated from the patient’s smartphone into 3D models by using the initial STL file uploaded into the DM platform. A study published in 2019 in the AJODO10 has found no clinically significant differences, according to the American Board of Orthodontics-determined standards, between the STL files generated from DM scans and the ones generated by a topFEATURE: ARTIFICIAL INTELLIGENCE
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