Abstract
AI in dentistry uses machine learning techniques. It also utilizes sequenced radiographic images to enhance diagnostic accuracy along with planning corrective measures for managing diseases and disorders. Effective applications include the detection of tooth infections, periodontal bone loss, and dental caries in radiographic images. It has significant potential in assisting orthodontics, prosthodontics, and endodontics. It also helps in speeding up workflow in dental applications.
AI may be very useful in the following:
Data analysis in clinical practice and scientific research, including assistance in academic publications. It also supports predictive analytics by using longitudinal patient data to predict future oral health issues. Diagnostic radiographic imaging with high precision. Treatment planning and outcome prediction. Acting as a force multiplier in digital dentistry and prosthetic design. Supporting automated systems to manage patient records, streamline insurance claims, and identify diseases and disorders. Enhancing patient communication and remote consultation through tele dentistry and related methods. Improving haptics and simulator functioning to replicate real clinical situations.
The benefits and impact of AI in dental sciences include improved accuracy by reducing human error and acting as a reliable second opinion. It is valuable in the early detection of diseases and disorders, enabling preventive care. This, in turn, saves time by automating diagnostic analysis and administrative tasks. It provides consistent, standardized, and high-quality care across different clinics and hospitals.
AI also has limitations, as it cannot replace human empathy or complex, creative decision-making abilities that require emotional intelligence. Current concerns include the need to develop ethical guidelines regarding the use of AI in healthcare. The future of AI in dentistry is expected to move toward fully integrated, patient-centred, and personalized treatment approaches.