UMIN-ICDS Clinical Trial

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

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Basic information

Public title

Development of an AI-Based Feedback System for Tooth Preparation Assessment and Verification of Its Educational Effects on Dental Residents

Acronym

Development of an AI-Based Feedback System for Tooth Preparation Assessment and Verification of Its Educational Effects on Dental Residents

Scientific Title

Development of an AI-Based Feedback System for Tooth Preparation Assessment and Verification of Its Educational Effects on Dental Residents

Scientific Title:Acronym

Development of an AI-Based Feedback System for Tooth Preparation Assessment and Verification of Its Educational Effects on Dental Residents

Region

Japan


Condition

Condition

Condition Health Condition(s) or Problem(s) studied:Dental education / Clinical skill training

Classification by specialty

Not applicable

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

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.

Basic objectives2

Efficacy

Basic objectives -Others


Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

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).

Key secondary outcomes

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)


Base

Study type

Interventional


Study design

Basic design

Parallel

Randomization

Randomized

Randomization unit

Individual

Blinding

Open -but assessor(s) are blinded

Control

Active

Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms

2

Purpose of intervention

Educational,Counseling,Training

Type of intervention

Other

Interventions/Control_1

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.

Interventions/Control_2

Control group: After tooth preparation, trainees receive standard verbal feedback from a supervising dentist.

Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit


Not applicable

Age-upper limit


Not applicable

Gender

Male and Female

Key inclusion criteria

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.

Key exclusion criteria

Those who do not provide consent to participate in the study
Those otherwise judged ineligible by the principal investigator

Target sample size

40


Research contact person

Name of lead principal investigator

1st name Hiroaki
Middle name
Last name Taketa

Organization

Okayama University Hospital

Division name

Dentistry (Division of Comprehensive Dentistry)

Zip code

700-8525

Address

2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan

TEL

086-235-6788

Email

taketa-h@cc.okayama-u.ac.jp


Public contact

Name of contact person

1st name Naoyuki
Middle name
Last name Takada

Organization

Okayama University Hospital

Division name

Dentistry (Division of Comprehensive Dentistry)

Zip code

700-8525

Address

2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan

TEL

086-235-6788

Homepage URL


Email

pqpy3pap@s.okayana-u.ac.jp


Sponsor or person

Institute

Okayama University

Institute

Department

Personal name



Funding Source

Organization

Okayama University

Organization

Division

Category of Funding Organization

Other

Nationality of Funding Organization



Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences and Okayama University Hospital Ethics Committee

Address

2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558

Tel

086-235-6938

Email

mae6605@adm.okayama-u.ac.jp


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW



Institutions

Institutions

岡山大学病院(岡山県)


Other administrative information

Date of disclosure of the study information

2026 Year 09 Month 01 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled


Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

Preinitiation

Date of protocol fixation

2026 Year 07 Month 21 Day

Date of IRB


Anticipated trial start date

2027 Year 04 Month 01 Day

Last follow-up date

2030 Year 03 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information



Management information

Registered date

2026 Year 08 Month 26 Day

Last modified on

2026 Year 08 Month 26 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071778