Surgeons' Prediction of Dental Surgery Complications and the Influence of Patient Characteristics: Development of an AI Model

The goal of this observational study is to learn how to better predict and prevent intra- and postoperative complications in oral surgery in adult patients referred for oral surgical procedures. The study aims to understand how accurately surgeons can foresee complications and which patient, tooth, and surgery related factors influence the outcomes. The research questions are: * What is the incidence of intra and postoperative complications in oral surgery? * Which factors predict these complications, and how accurately can surgeons anticipate them? * Can the development of an AI tool reduce postoperative complications? Participants will: * Receive standard oral surgery treatment at a private referral clinic (Specialtandlægerne Sjælland). * Have clinical information collected about their procedure, medical history, and personal characteristics (including anxiety level). * Conduct a short questionnaire, the STAI-6 and the I-PANAS-SF. * Have the surgeon record their prediction of whether complications are expected. * Be followed in the postoperative lapse to document whether complications occur after surgery.