| Unique ID issued by UMIN | UMIN000062699 |
|---|---|
| Receipt number | R000071778 |
| Scientific Title | Development of an AI-Based Feedback System for Tooth Preparation Assessment and Verification of Its Educational Effects on Dental Residents |
| Date of disclosure of the study information | 2026/09/01 |
| Last modified on | 2026/08/26 15:49:43 |
Development of an AI-Based Feedback System for Tooth Preparation Assessment and Verification of Its Educational Effects on Dental Residents
Development of an AI-Based Feedback System for Tooth Preparation Assessment and Verification of Its Educational Effects on Dental Residents
Development of an AI-Based Feedback System for Tooth Preparation Assessment and Verification of Its Educational Effects on Dental Residents
Development of an AI-Based Feedback System for Tooth Preparation Assessment and Verification of Its Educational Effects on Dental Residents
| Japan |
Condition Health Condition(s) or Problem(s) studied:Dental education / Clinical skill training
| Not applicable |
Others
NO
Tooth preparation for abutments, reducing and shaping teeth to fabricate indirect restorations such as crowns and bridges, is a core clinical skill in prosthodontics that determines the marginal fit and long-term prognosis of prosthetic restorations. However, in the postgraduate clinical training program at our hospital, tooth preparation practice is not part of the formal curriculum, and dental residents currently practice on their own initiative during free time. In this self-directed practice, residents may occasionally receive evaluations when they request them from supervising dentists; however, as supervisors are heavily occupied with clinical and educational duties, such opportunities are limited, and no systematic framework for evaluation and feedback exists. Moreover, even when preparation skills are assessed in undergraduate or postgraduate education, the judgment depends on supervisors' subjective assessment, raising concerns about the objectivity and reproducibility of evaluations (inter- and intra-rater reliability). Consequently, the quality and consistency of feedback to learners are not necessarily assured.
Recently, with the widespread adoption of dental 3D scanners, the morphology of prepared teeth (e.g., taper angle, axial wall height, and continuity of the finish line) can be quantitatively analyzed as digital data. However, no established system automatically scores these data using artificial intelligence (AI) and presents the results as verbal educational feedback.
This study aims to develop an AI-based system that automatically scores and verbalizes the quality of tooth preparation from 3D scan data, and (1) to examine the agreement between AI and supervisor (expert) evaluations, and (2) to investigate the educational effectiveness of immediate AI feedback through a randomized comparison with supervisor feedback.
Efficacy
Between-group difference in the rate of improvement calculated from the changes in preparation accuracy scores (AI-generated scores) over Phase 1 (10 sessions in total).
1.Rate of improvement in preparation accuracy scores during Phase 2 (secondary analysis accounting for carryover effects)
2.Agreement between AI-generated scores and supervising dentists' scores
3.Changes in self-assessed confidence measured by questionnaires at each time point (before the practice sessions, at the end of Phase 1, and after the end of Phase 2)
Interventional
Parallel
Randomized
Individual
Open -but assessor(s) are blinded
Active
2
Educational,Counseling,Training
| Other |
Intervention group: After tooth preparation, an AI system analyzes STL data obtained via 3D scanning and provides feedback through an AR-based visualization of reduction amount, taper angle, and other scores with evaluative comments.
Control group: After tooth preparation, trainees receive standard verbal feedback from a supervising dentist.
Control group: After tooth preparation, trainees receive standard verbal feedback from a supervising dentist.
| Not applicable |
| Not applicable |
Male and Female
Dental residents in clinical training at Okayama University Hospital who have provided written informed consent to participate in the tooth preparation practice sessions and in this study.
Those who do not provide consent to participate in the study
Those otherwise judged ineligible by the principal investigator
40
| 1st name | Hiroaki |
| Middle name | |
| Last name | Taketa |
Okayama University Hospital
Dentistry (Division of Comprehensive Dentistry)
700-8525
2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan
086-235-6788
taketa-h@cc.okayama-u.ac.jp
| 1st name | Naoyuki |
| Middle name | |
| Last name | Takada |
Okayama University Hospital
Dentistry (Division of Comprehensive Dentistry)
700-8525
2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan
086-235-6788
pqpy3pap@s.okayana-u.ac.jp
Okayama University
Okayama University
Other
Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences and Okayama University Hospital Ethics Committee
2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558
086-235-6938
mae6605@adm.okayama-u.ac.jp
NO
岡山大学病院(岡山県)
| 2026 | Year | 09 | Month | 01 | Day |
Unpublished
Preinitiation
| 2026 | Year | 07 | Month | 21 | Day |
| 2027 | Year | 04 | Month | 01 | Day |
| 2030 | Year | 03 | Month | 31 | Day |
| 2026 | Year | 08 | Month | 26 | Day |
| 2026 | Year | 08 | Month | 26 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071778