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Generative AI-Based Immersive Training for Endodontic Risk Disclosure and Informed Consent Among Dental Students

NCT07731867 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 96

Last updated 2026-07-28

No results posted yet for this study

Summary

The objective of this prospective, parallel-group, 1:1 randomized controlled trial is to evaluate the effectiveness of a generative artificial intelligence (AI)-based immersive training program, utilizing the Gemini platform, in improving endodontic risk disclosure and informed consent (RD-IC) quality, communication competence, self-efficacy, and reducing communication anxiety among undergraduate dental students during their clinical clerkship.

Traditional pedagogical methods in dental education, such as case-based learning (CBL) and peer role-playing, often struggle to simulate the high-stakes interpersonal tension and technical complexity involved in specialized endodontic risk disclosure. Complications like instrument separation, pulp floor perforation, and acute flare-ups require clear, empathetic, and legally sound communication. While standardized patients (SPs) are effective, they pose severe logistical and financial constraints for large student cohorts.

To address this gap, 96 fifth-year undergraduate dental students undergoing clinical rotation were recruited and randomly allocated to either the experimental group (1-month generative AI-based immersive training via the Gemini platform) or the control group (1-month conventional case-based learning). The AI intervention provided interactive, real-time conversational simulations across six high-stakes endodontic clinical scenarios, delivering instantaneous, personalized feedback on technical accuracy and empathetic delivery.

The primary outcome evaluated was the RD-IC completeness score. Secondary outcomes included SEGUE communication framework scores, Self-Efficacy in Clinical Communication Scale (SCS) scores, Communication Anxiety Scale (CAS) scores, blinded standardized patient (SP) ratings, user satisfaction, and long-term clinical skill retention assessed at 1-month (T2-1m) and 2-month (T2-2m) post-intervention follow-ups.

Conditions

  • Endodontic Diseases
  • Clinical Communication
  • Informed Consent

Interventions

OTHER

Generative AI-Based Immersive Training

1-month generative AI-based immersive training program utilizing the Gemini platform. Participants engage in 10-15 minute adaptive conversational simulations every 3-4 days covering six high-stakes endodontic clinical scenarios (such as acute pain management, instrument separation disclosure, and pulp floor perforation), receiving immediate personalized feedback on risk disclosure completeness and empathetic communication.

OTHER

Conventional Case-Based Learning

1-month conventional case-based learning curriculum targeting the exact same six high-stakes endodontic clinical scenarios. Learning involves structured case discussions, faculty-led lectures, and review of standardized informed consent templates without adaptive conversational immersion or real-time AI feedback.

Sponsors & Collaborators

  • The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
25 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-03-01
Primary Completion
2026-04-01
Completion
2026-05-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07731867 on ClinicalTrials.gov