Title: Artificial intelligence in clinical decision making in third molar surgery
Abstract:
Artificial Intelligence (AI) is making significant strides in the field of oral and maxillofacial surgery, particularly in the context of third molar surgery. This paper investigates the implementation of AI technologies to enhance clinical decision-making during the planning and execution of third molar extraction procedures. By utilizing machine learning algorithms and predictive analytics, AI can analyze patient data, including radiographic images and medical history, to assess the complexity of third molar cases. The integration of AI not only aids in accurately predicting potential complications and anatomical variations but also improves surgical outcomes by facilitating personalized treatment plans tailored to individual patient profiles. Furthermore, AI systems contribute to optimizing surgical workflows, reducing operation times, and enhancing patient safety. As we explore the emerging role of AI in third molar surgery, we emphasize the necessity of balancing technological advancements with ethical considerations and the vital role of dental practitioners in maintaining oversight in clinical decision-making. The findings suggest that leveraging AI in third molar surgery can lead to more efficient, accurate, and safe surgical interventions, ultimately improving patient care in oral surgery.

