The Utility of Artificial Intelligence in Dentistry: Advancing Frontiers

INTRODUCTION

The advancements in artificial intelligence (AI) technology are causing a revolution in the field of dentistry, making it easier for dentists to provide expert opinions and work with greater precision.^[1] The emerging field of AI research continues to expand at an impressive rate, and the results will undoubtedly influence dentistry. AI is defined as “the ability of a device to perform functions normally associated with human intelligence, such as reasoning, learning, and self-development.” It currently occupies a significant position in our lives and is getting progressively larger on an AI basis.^[2] John McCarthy, a mathematician, coined the term AI in 1956.^[3] As studies on AI continue to develop at an ever-increasing pace, there is no doubt that dentistry, along with many other disciplines, is set to change and advance.

The use of AI has the potential to improve our knowledge of illnesses in different communities. By analyzing and extrapolating vast amounts of data, AI can provide a computerized analysis that could lead to a better understanding of various health conditions. It is appropriate to expect the use of terminologies such as “digital transformations,” “digitalized workflows,” and “technical developments” because of the technological advances in computer power, the accessibility of global information, and the widespread availability of large data that are currently ready for AI assessment. Datasets for AI demand thorough analysis to improve their accuracy. The experts are required to invest time and effort to prepare the data to be used for successful learning. Machine learning is an algorithm that refers to the study of computer models that improve their performance by learning from experience without explicit instruction. It requires sample data to make predictions or decisions.

On the other hand, deep learning and statistical learning are sub-branches of machine learning, which is a science under Computer Science or Computer Engineering.^[2] AI in dentistry is revolutionizing the discipline by enabling more precision, fewer errors, and a reduction in staffing needs. In dental clinics, AI is capable of performing an array of duties, including appointment scheduling, clinical diagnosis support, and treatment planning. General algorithms are a powerful tool for searching through large amounts of data efficiently; they work using the principle of survival of the fittest in natural selection, allowing them to find the best possible solutions to problems.^[4]

The integration of AI into various dental diagnostic and treatment procedures has also been initiated. AI has already been proven to be highly proficient in identifying and categorizing orthodontic malocclusion with high degrees of sensitivity, accuracy, specificity, and precision. AI also has the capability of automatically identifying dental restorations on panoramic radiographs and identifying anomalies related to the teeth and maxillofacial region, including bone lesions, periodontal illnesses, root caries, and face deformities.^[4] In the event of a dental emergency where direct communication with the dentist is not possible, the patient has a constant assurance that access to emergency telemedicine services is available. Hence, AI can enable obtaining prompt and effective care from qualified medical professionals in times of need. Through these opportunities, AI provides a sense of safety and security to the patients.

AI will likely not replace dentists, but it will improve their expertise and assist them in accomplishing new heights in precision, patient satisfaction, and treatment outcomes.^[5]

The present review aims to provide insights into the potential utility of AI in various branches of dentistry.

APPLICATION OF AI IN DENTISTRY

PROSTHODONTICS

CAD/computer-aided manufacturing (CAM) procedures have made their way into routine clinical and laboratory practice. AI has been used in the field of prosthodontics to improve CAD/CAM systems, implant prosthetics, tooth preservation, and orofacial anatomy. AI is capable of creating removable partial dentures (RPDs) using 3D printing technology. 3D printing technology facilitates improved production improved production, efficiency, accuracy and cost-effectiveness of RPDs compared to older approaches. Computer-aided analysis of RPD fit can provide accurate measurements and assessments of prosthesis performance, fit, occlusion, and general functionality. This can help diagnose and fix faults with the prosthesis, thereby improving patient happiness and outcomes.^[33] In addition, it improves the accuracy and efficiency of tooth preparation. AI can assist in tooth margin preparation by automating the precise excision of marginal lines. Initially, advanced technical expertise and manual effort were necessary. AI contributes to improving implant placement and planning by assessing CBCT pictures and producing a 3D model of the patient’s jawbone. Identifying the optimal position and angle for implant insertion improves the procedure’s success rate.^[34] Digital software enables more precise planning for grin designs. It has improved patient outcomes by ensuring predictability and esthetic appeal. Dental professionals can personalize their patients’ smiles using virtual smile design software, including tooth shape, size, color, and location. This personalization creates a personalized smile that complements the patient’s facial traits and personality.^[35]

COMMUNITY DENTISTRY

AI can play a pivotal role in oral cancer and pre-cancer screening within communities, offering innovative solutions for early detection and intervention.^[36] By analyzing patient data, including medical history and oral examination findings, AI algorithms identify high-risk individuals and accurately differentiate between benign and potentially malignant lesions. This facilitates timely referrals for further evaluation and personalized management plans, empowering communities to implement proactive strategies for prevention and early intervention, thus improving patient outcomes.

In addition, AI can serve as a powerful tool for identifying populations in need of dental treatment, enabling efficient resource mobilization.^[37] Through large-scale data analysis, AI algorithms pinpoint regions with high oral health needs and limited access to care. If funding is available, this would allow dental professionals to strategically allocate resources such as mobile clinics and outreach programs, while AI-driven population health management systems facilitate targeted interventions for individuals at high risk of oral diseases.

Moreover, AI contributes to generating awareness in media for oral health by analyzing trends and sentiments to tailor content to public interests. AI-powered content creation tools produce engaging materials catering to diverse audiences and demographics.^[38] Personalized content delivery ensures that individuals receive relevant oral health information through preferred media channels, amplifying awareness campaigns and promoting oral health literacy for healthier communities.^[39]

ORAL SURGERY

AI applications in oral and maxillofacial surgery (OMFS) have been increasing in prominence in recent decades, benefiting several elements of the field. AI has been used for activities such as diagnosis, cephalometrics, pre-operative planning, intraoperative measurements, outcome evaluation, and postoperative follow-up in OMFS.^[40] An AI-based algorithm can help establish the surgical rationale for tooth extraction by predicting the likelihood of dental eruption-related risks.^[41] AI algorithms trained on clinical input data could predict the effectiveness of osseointegration treatments and dental implants, as well as optimize the design of dental implants before surgery.^[42] Automated landmark detection using machine learning algorithms on lateral cephalometric radiographs has emerged as a promising method.^[43]

Wang et al. conducted a study where he used multiscale decision tree regression voting with scale-invariant patch features for landmark detection, allowing for the calculation of specific clinical parameters.^[44] Computer-aided planning using 3D imaging simplifies cephalometric analysis, splint fabrication, and operation simulation. It enables clearer visibility of dental anomalies such as yaw rotations, occlusal plane canting, and variable length of the body/ramus of the mandible.^[45]

The utility of AI across various branches of dentistry is collectively summarized in [Figure 1].

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Figure 1:

Utility of AI across various branches of dentistry. CAD-CAM: Computer-Aided Design and Computer-Aided Manufacturing, OPG: Orthopantomogram, CBCT: Cone Beam Computed Tomography, OSCC: Oral Squamous Cell Carcinoma.

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BENEFITS

The use of advanced technology in dentistry could significantly improve patient care. With AI-based tools, dentists tend to be fast in assessing medical and dental history data, which is crucial for patient-centered care. This is particularly important for individuals with complex medical histories.^[46,47] Furthermore, AI-based technology can lessen gaps in access to oral and dental health services.^[48] For instance, applications for oral cancer, periodontitis, or caries detection can be used in resource-limited settings. From a sustainable AI ability perspective, AI can help prevent oral/dental diseases and reduce the costs associated with treatments. By identifying the earliest signs of disease, we can prevent further damage and minimize the use of resources. AI can entirely alter the interaction between patients and companies. We may establish a database of techniques and practices that can be evaluated against AI. This can facilitate knowledge sharing and aid in improving patient outcomes.^[49]

LIMITATIONS AND CHALLENGES

Due to regulatory hurdles and data privacy considerations, dental data are not as publicly available and accessible as other data. There are numerous methods of verifying or triangulating the sensitive, multifaceted, and sophisticated data on each patient. Selection bias is the result of sampling when extremely affluent persons, overly sick, overly healthy, or both are overrepresented. Applications of AI built with such data will inevitably be pre-judiced.^[50] Errors can still occur, thus oversight by humans is still essential. As a model system primarily focuses on machines and software, it is oblivious to human connections, including empathy toward patients. Because all of the information is stored in the system, there may be security problems.^[51] There are legal issues with intellectual property, and some factors must be considered to make sure that the algorithms are transparent and non-proprietary.^[52]

Evaluating the reproducibility of deep learning research poses difficulties due to the constrained availability of codes and datasets.^[53] A significant number of legal discussions around AI have centered on the concern of algorithmic transparency limitations. The use of AI in high-risk scenarios has raised the need for transparent, fair, and responsible AI design and governance.^[54] Another reason for caution is that it poses a danger to “both the moral framework of society and the foundation of the liability idea in law.”^[55] Data reveal that AI models are capable of large-scale deployment and embedding of social and human biases. Still, the underlying data should bear more of the blame than the algorithm itself.^[56] AI systems have safety risks, and hence, strategies should be implemented to control the quality of the algorithms and systems utilized in AI.^[57]

AI utilized in health care needs to adjust to a constantly evolving environment with frequent disruptions while preserving moral standards to protect patients’ interests.^[58]

FUTURE PROSPECTS

The future prospects of AI in dentistry are promising, with emerging technologies and potential new applications poised to reshape the field. One area of advancement is in the development of AI-powered robotic systems for dental procedures.^[5] These systems can enhance precision, reduce procedural errors, and improve patient outcomes, particularly in complex surgeries and dental implant placements. In addition, advancements in 3D imaging and virtual reality technology are enabling the creation of immersive training simulations for dental students and professionals, allowing for more realistic and effective learning experiences.

Furthermore, AI holds the potential to revolutionize patient care through personalized treatment planning and predictive analytics. By analyzing vast amounts of patient data, including genetic information, medical history, and treatment outcomes, AI algorithms can tailor treatment plans to individual patient needs, optimizing outcomes and minimizing risks.^[59] Moreover, AI-driven virtual assistants and chatbots are being developed to enhance patient engagement, providing real-time support, appointment reminders, and post-treatment guidance, thereby improving patient satisfaction and adherence to treatment regimens.

Looking ahead, AI is expected to play a crucial role in preventive dentistry through early disease detection and monitoring. With advancements in wearable technology and remote monitoring devices, AI algorithms can analyze real-time oral health data, such as saliva pH levels and bacterial composition, to detect signs of disease onset and provide timely interventions.^[60] In addition, AI-powered image analysis tools can enhance dental screenings in underserved communities, enabling early identification of oral health issues and facilitating access to timely treatment.

Overall, the future of AI in dentistry holds immense potential for improving patient care, enhancing treatment outcomes, and advancing preventive measures. By embracing emerging technologies and exploring new applications, the field is poised to undergo transformative changes, ultimately leading to more efficient, accessible, and personalized dental care for patients worldwide.

CONCLUSION

As technology continues to advance, we are seeing more and more AI-based software being integrated into various industries, including dentistry. Moreover, while some may be hesitant about this shift, there are many potential benefits to be gained from utilizing these tools. For instance, introducing AI-based software could help to reduce disparities in dental care by providing more standardized and consistent treatment options. Furthermore, it could enhance the dental practice’s operational efficiency, allowing dentists to see more patients and provide higher-quality care. Perhaps most importantly, AI-based software could facilitate the sharing of information between medical and dental providers. This is especially crucial for medically compromised dental patients, who may require specialized care and attention from both types of professionals. Overall, while there are certainly some concerns to be addressed when it comes to implementing AI-based software in dentistry, it is clear that there is great potential for positive change and improved patient outcomes.

AI is currently being studied in dentistry for several purposes, including the identification of normal and abnormal structures, diagnosis of diseases, and prediction of treatment outcomes. In addition, machine learning has been used in various ways in dentistry, with different methodologies and reporting metrics. Using AI as an additional tool, dental professionals can reduce their workload and improve the accuracy of diagnosis, decision-making, treatment planning, disease prognosis, and treatment outcome prediction.