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

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age15+
SponsorUniversity of Copenhagen

About this trial

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.

Eligibility criteria

Qualifiers

Patients reffered from a general dentist practicioner for the following surgeries: third molar removal, apicoectomy, dental implant placement.

Patients >15 years of age

A valid diagnosis prior to the surgery

Cases with fully completed questionnaires.

Disqualifiers

Pathological condition requiring hospital refferal

Complications following re-surgery

Re-assesment of the diagnosis from the general dentist practicioner

Root fracture present.

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

3,000 Participants
are grouped into 3 trial groups

Sponsors and collaborators

University of Copenhagen

Lead sponsor

Specialtandlaegerne Sjaelland ApS

Collaborator