Personalized dental medicine, artificial intelligence, and their relevance for dentomaxillofacial imaging

Abstract

Personalized medicine refers to the tailoring of diagnostics and therapeutics to individuals based on one’s biological, social, and behavioral characteristics. While personalized dental medicine is still far from being a reality, advanced artificial intelligence (AI) technologies with improved data analytic approaches are expected to integrate diverse data from the individual, setting, and system levels, which may facilitate a deeper understanding of the interaction of these multi level data and therefore bring us closer to more personalized, predictive, preventive, and participatory dentistry, also known as P4 dentistry. In the field of dentomaxillofacial imaging, a wide range of AI applications, including several commercially available software options, have been proposed to assist dentists in the diagnosis and treatment planning of various dentomaxillofacial diseases, with performance similar or even superior to that of specialists. Notably, the impact of these dental AI applications on treatment decision, clinical and patient-reported outcomes, and cost-effectiveness has so far been assessed sparsely. Such information should be further investigated in future studies to provide patients, providers, and healthcare organizers a clearer picture of the true usefulness of AI in daily dental practice.

A closer look at the current knowledge and prospects of artificial intelligence integration in dentistry practice: A cross-sectional study

“…With the use of cutting-edge technologies and AI healthcare sectors are at a turning point. AI and machine learning are increasingly important for creating prescriptive and predictive analytics, and AI-enabled software is revolutionizing the healthcare sector by bringing down costs and boosting effectiveness across the board [ 22 ]. AI integration policy should be developed to determine the ethical and regularity requirements, define the main roles and responsibilities of dentists.…”

Artificial Intelligence in Medicine and Dentistry

“…Personalized treatment plans: AI can be used to analyze dental images and patient data to help dentists create personalized treatment plans tailored to the specific needs of individual patients ( 141 ).…”

Clinicopathological concordance of clinicians, Chat-GPT4 and ORAD for odontogenic keratocysts and tumours referred to a single New Zealand Centre- A 15-year retrospective study.

“…AI algorithms can potentially assist healthcare professionals in analysing medical images, identifying patterns, and providing diagnostic support. Previous studies have shown promising results in respect to identifying and classifying lesions in plain radiographs and cone-beam computed tomography (CBCT) scans (38)(39)(40)(41). By leveraging machine learning techniques, notably deep convolutional neural network (CNN), AI systems can learn from large datasets of annotated images to recognise speci c radiographic features associated with different types of cysts and neoplasms (38)(39)(40)(41)(42)(43)(44)(45).…”

“…Previous studies have shown promising results in respect to identifying and classifying lesions in plain radiographs and cone-beam computed tomography (CBCT) scans (38)(39)(40)(41). By leveraging machine learning techniques, notably deep convolutional neural network (CNN), AI systems can learn from large datasets of annotated images to recognise speci c radiographic features associated with different types of cysts and neoplasms (38)(39)(40)(41)(42)(43)(44)(45). Further to this by combining radiological and demographics and clinical data, AI models can generate differential diagnoses to provide clinicians with additional decision support(38-41) and for the purpose of surgical planning ((46-48).…”