dental caries Tooth Diseases
Conditions
Interventions
This is a randomized experimental study, non-blinded regarding the use of the intervention—artificial intelligence (AI)—with partial blinding, as participants are unaware of the reference standard res
these teeth will be obtained from the dental surgery clinics of UFJF/GV through donation and upon signing an informed consent form. The diagnostic skills of the 70 participants prior to the study will
Sponsors
Universidade Federal de Juiz de Fora (UFJF)
Universidade Federal de Juiz de Fora Campus Governador Valadares (UFJF/GV)
Eligibility
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Dental students from the Federal University of Juiz de Fora Governador Valadares campus, regardless of gender, social class, or religious belief; Extracted teeth permanent molars and premolars extracted for periodontal reasons, sound and/or with caries lesions in enamel and dentin
Exclusion criteria
Exclusion criteria: Students those who have not passed the course Dental Radiology I or Basic Dental Radiology; Extracted teeth with coronal restorations, endodontic access, coronal fractures, or partial or total coronal destruction
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| It is expected that there will be an improvement of over 10% in the accuracy rate of diagnoses of proximal and occlusal caries, assessed using interproximal radiographs taken by the experimental group immediately after exposure to the artificial intelligence intervention | — |
Secondary
| Measure | Time frame |
|---|---|
| As secondary outcomes, diagnostic sensitivity, specificity, and accuracy for caries lesions will be evaluated in order to compare the results between the experimental and control groups. The influence of the type of caries lesion on diagnostic performance will also be assessed, distinguishing between interproximal and occlusal lesions. Another secondary outcome will be the comparison of the diagnostic ability of students in the experimental group before and after the use of artificial intelligence, allowing the identification of performance gains associated with the intervention. | — |
Countries
BR
Contacts
Public ContactFrancielle;Alison Verner;Lima
Universidade Federal de Juiz de Fora Campus Governador Valadares;Universidade Federal de Juiz de Fora Campus Governador Valadares
Outcome results
None listed