Esta página foi traduzida automaticamente e a precisão da tradução não é garantida. Por favor, consulte o versão em inglês para um texto fonte.

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

Generative AI-Based Immersive Training for Endodontic Risk Disclosure and Informed Consent Among Dental Students: A Randomized Controlled Trial

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.

Visão geral do estudo

Status

Concluído

Condições

Intervenção / Tratamento

Descrição detalhada

BACKGROUND AND RATIONALE:

Endodontic treatments-including root canal therapy, retreatment, and periradicular surgery-are technically demanding procedures that carry inherent risks of irreversible complications, such as instrument separation, canal ledging, pulp floor perforation, and acute flare-ups. Effective risk disclosure and informed consent (RD-IC) processes are essential ethical and legal safeguards that ensure patient autonomy, foster collaborative doctor-patient trust, and minimize medicolegal hazards. However, traditional dental education relying on passive lectures or case-based learning (CBL) fails to recreate the real-world psychological pressure and conversational fluidity needed during challenging consultations. Generative AI large language models (LLMs), such as Gemini, offer an innovative, highly scalable "safe-to-fail" platform capable of simulating adaptive patient personas with diverse emotional profiles and health literacy levels.

STUDY DESIGN AND PARTICIPANT RECRUITMENT:

This prospective, parallel-group, 1:1 randomized controlled trial was conducted at the Department of Stomatology, The First Affiliated Hospital of Hunan University of Chinese Medicine, from March to May 2026. The trial protocol strictly adhered to the CONSORT 2010 statement and CONSORT-EHEALTH 2023 extension guidelines, with ethical approval granted by the Institutional Review Board (Ethics File No. MR-43-26-046512).

A total of 96 eligible fifth-year undergraduate dental students in their clinical clerkship who had completed core endodontic didactic courses were enrolled. Participants were randomly assigned via a computer-generated random sequence to either:

  1. Experimental Group (n=48): Generative AI-based Immersive Training.
  2. Control Group (n=48): Conventional Case-Based Learning (CBL).

EDUCATIONAL INTERVENTIONS:

  • Experimental Group: Participants completed a 1-month simulation program using the Gemini platform. The curriculum comprised six standardized, high-stakes endodontic clinical scenarios (including acute pain management, instrument separation disclosure, and pulp floor perforation). Students engaged in 10-15 minute adaptive dialogue sessions every 3-4 days. The platform utilized standardized prompt templates to deliver real-time, objective feedback on both technical completeness (risk disclosure) and humanistic communication (empathy, tone, and clarity).
  • Control Group: Participants underwent conventional CBL targeting the exact same six endodontic scenarios over the same 1-month duration. Learning involved structured group case discussions, faculty lectures, and standard informed consent document reviews. Both groups had equal access to standard clinical guidelines.

OUTCOME MEASURES AND DATA COLLECTION:

Assessments were conducted at four distinct time points: Baseline (T0), Immediately Post-Intervention (T1), 1-Month Follow-Up (T2-1m), and 2-Month Follow-Up (T2-2m).

  1. Primary Outcome: RD-IC Completeness Score, measured via a validated 10-item checklist covering core indications, intraoperative complications, post-op pain, prognosis, alternative plans, and compliance.
  2. Secondary Outcomes:

    • SEGUE Framework Scores: Assessing systematic communication competence (Set the stage, Elicit info, Give info, Understand perspective, End encounter).
    • Communication Self-Efficacy Scale (SCS) Scores: Evaluating confidence across clinical communication domains.
    • Communication Anxiety Scale (CAS) Scores: Assessing psychological tension and situational anxiety.
    • Blinded Standardized Patient (SP) Global Ratings: External validation of clinical communication performance.
    • Training Satisfaction Questionnaire: Evaluating platform authenticity, feedback quality, and user experience.
    • Longitudinal Retention: Skill retention and clinical transferability evaluated at T2-1m and T2-2m.

STATISTICAL ANALYSIS:

Data analysis was conducted using SPSS 26.0 following Intention-To-Treat (ITT) and Per-Protocol (PP) principles. Group differences were evaluated using t-tests, Mann-Whitney U tests, chi-square tests, and repeated-measures ANOVA, with Bonferroni corrections applied for multiple comparisons.

Tipo de estudo

Intervencional

Inscrição (Real)

96

Estágio

  • Não aplicável

Contactos e Locais

Esta seção fornece os detalhes de contato para aqueles que conduzem o estudo e informações sobre onde este estudo está sendo realizado.

Locais de estudo

    • Hunan
      • Changsha, Hunan, China, 410007
        • The First Affiliated Hospital of Hunan University of Chinese Medicine

Critérios de participação

Os pesquisadores procuram pessoas que se encaixem em uma determinada descrição, chamada de critérios de elegibilidade. Alguns exemplos desses critérios são a condição geral de saúde de uma pessoa ou tratamentos anteriores.

Critérios de elegibilidade

Idades elegíveis para estudo

  • Adulto

Aceita Voluntários Saudáveis

Sim

Descrição

Inclusion Criteria:

  • Fifth-year undergraduate dental students undergoing clinical clerkship at the Department of Stomatology, Hunan University of Chinese Medicine.
  • Completed all core didactic and theoretical courses in endodontics.
  • Entered the early stage of clinical rotation.
  • Provided signed voluntary informed consent to participate in the trial.

Exclusion Criteria:

  • Prior experience with specialized clinical communication simulation or specialized AI communication training.
  • Presence of unavoidable schedule conflicts during the study period.
  • Factors affecting student eligibility to complete the full training and evaluation process.

Plano de estudo

Esta seção fornece detalhes do plano de estudo, incluindo como o estudo é projetado e o que o estudo está medindo.

Como o estudo é projetado?

Detalhes do projeto

  • Finalidade Principal: Outro
  • Alocação: Randomizado
  • Modelo Intervencional: Atribuição Paralela
  • Mascaramento: Solteiro

Armas e Intervenções

Grupo de Participantes / Braço
Intervenção / Tratamento
Experimental: Experimental Group
Participants received a 1-month generative AI-based immersive training program using the Gemini platform, engaging in standardized interactive simulations of six high-stakes endodontic clinical scenarios with immediate personalized feedback.
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.
Comparador Ativo: Control Group
Participants underwent conventional case-based learning (CBL) targeting the same six endodontic scenarios over 1 month, involving group case discussions, faculty lectures, and standard informed consent reviews.
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.

O que o estudo está medindo?

Medidas de resultados primários

Medida de resultado
Descrição da medida
Prazo
Endodontic Risk Disclosure and Informed Consent (RD-IC) Completeness Score
Prazo: Immediately post-intervention (T1, at 1 month after study baseline)
Evaluated via a validated 10-item checklist covering core indications, intraoperative complications, postoperative pain, long-term structural defects, poor prognosis, anatomical variations, sequential treatments, anesthetic allergies, systemic diseases, and poor compliance. Scores range from 0 to 100, with higher scores indicating superior technical accuracy and completeness in risk disclosure.
Immediately post-intervention (T1, at 1 month after study baseline)

Medidas de resultados secundários

Medida de resultado
Descrição da medida
Prazo
SEGUE Framework Doctor-Patient Communication Competence Score
Prazo: Immediately post-intervention (T1, at 1 month after study baseline)
Evaluated using the SEGUE framework checklist, assessing 5 communication domains: Set the Stage, Elicit Information, Give Information, Understand Patient Perspective, and End the Encounter. Total median scores range from 0 to 25, with higher scores reflecting superior systematic doctor-patient interaction skills.
Immediately post-intervention (T1, at 1 month after study baseline)
Clinical Communication Self-Efficacy Scale (SCS) Score
Prazo: Immediately post-intervention (T1, at 1 month after study baseline)
Measures students' confidence across 4 domains: Information Gathering, Clinical Information Delivery, Emotional Empathy, and Conflict Management/Closing. Scores range from 20 to 100, with higher scores indicating higher self-efficacy.
Immediately post-intervention (T1, at 1 month after study baseline)
Communication Anxiety Scale (CAS) Score
Prazo: Immediately post-intervention (T1, at 1 month after study baseline)
Evaluates clinical communication anxiety across 4 sub-domains: Situational Tension and Physical Anxiety, Professional Self-Doubt and Worry, Endodontic Risk Disclosure Anxiety, and Communication Burden and Avoidance Tendency. Scores range from 12 to 60, with lower scores indicating reduced clinical communication anxiety.
Immediately post-intervention (T1, at 1 month after study baseline)
Blinded Standardized Patient (SP) Core Clinical Communication Competence Score
Prazo: Immediately post-intervention (T1, at 1 month after study baseline)
External assessment rated by blinded standardized patients across 5 core clinical domains: Reception Etiquette, Standardized Inquiry, Risk Informed Consent Communication, Emotional Empathy, and Closed-loop Guidance. Total scores range from 0 to 100, with higher scores reflecting better clinical communicative performance.
Immediately post-intervention (T1, at 1 month after study baseline)
AI Simulation Teaching Experience Scale Score
Prazo: Immediately post-intervention (T1, at 1 month after study baseline)
Assesses student satisfaction with the educational intervention across 5 sub-scales: Platform Operation, Simulation Scene Authenticity, AI Real-time Feedback Quality, Perceived Ability Improvement, and Recognition of New Teaching Mode. Total scores range from 20 to 100, evaluated against a theoretical neutral midpoint of 50.
Immediately post-intervention (T1, at 1 month after study baseline)
Long-term Retention Score of Endodontic Risk Disclosure (1-Month Follow-Up)
Prazo: 1-month post-intervention follow-up (T2-1m, at 2 months after study baseline)
Evaluates retention of communication skills 1 month post-intervention (T2-1m) across 5 sub-items: Basic Disease Communication, Intraoperative Risk Disclosure, Postoperative Risk Communication, Empathetic Alternative Plan Communication, and Closed-loop Consent Procedure. Total scores range from 0 to 100.
1-month post-intervention follow-up (T2-1m, at 2 months after study baseline)
Long-term Retention Score of Endodontic Risk Disclosure (2-Month Follow-Up)
Prazo: 2-month post-intervention follow-up (T2-2m, at 3 months after study baseline)
Evaluates long-term durability and resistance to skill decay 2 months post-intervention (T2-2m) across the same 5 risk disclosure sub-items. Total scores range from 0 to 100.
2-month post-intervention follow-up (T2-2m, at 3 months after study baseline)

Colaboradores e Investigadores

É aqui que você encontrará pessoas e organizações envolvidas com este estudo.

Patrocinador

Datas de registro do estudo

Essas datas acompanham o progresso do registro do estudo e os envios de resumo dos resultados para ClinicalTrials.gov. Os registros do estudo e os resultados relatados são revisados ​​pela National Library of Medicine (NLM) para garantir que atendam aos padrões específicos de controle de qualidade antes de serem publicados no site público.

Datas Principais do Estudo

Início do estudo (Real)

1 de março de 2026

Conclusão Primária (Real)

1 de abril de 2026

Conclusão do estudo (Real)

31 de maio de 2026

Datas de inscrição no estudo

Enviado pela primeira vez

23 de julho de 2026

Enviado pela primeira vez que atendeu aos critérios de CQ

23 de julho de 2026

Primeira postagem (Real)

28 de julho de 2026

Atualizações de registro de estudo

Última Atualização Postada (Real)

28 de julho de 2026

Última atualização enviada que atendeu aos critérios de controle de qualidade

23 de julho de 2026

Última verificação

1 de julho de 2026

Mais Informações

Termos relacionados a este estudo

Outros números de identificação do estudo

  • MR-43-26-046512
  • 2023-JG048 (Número de outro subsídio/financiamento: Teaching Reform Research Project of Hunan University of Traditional Chinese Medicine)
  • 2026-JG060 (Número de outro subsídio/financiamento: 2026 Hunan Provincial Teaching Reform Research Project for General Higher Education)

Plano para dados de participantes individuais (IPD)

Planeja compartilhar dados de participantes individuais (IPD)?

SIM

Descrição do plano IPD

The de-identified individual participant data collected during the trial will be made available from the corresponding author upon reasonable academic request.

Prazo de Compartilhamento de IPD

Data will be available immediately following publication of the manuscript.

Critérios de acesso de compartilhamento IPD

Data will be shared with qualified academic researchers upon reasonable request submitted via email to the corresponding author (libo@hnucm.edu.cn).

Tipo de informação de suporte de compartilhamento de IPD

  • PROTOCOLO DE ESTUDO
  • SEIVA
  • CIF

Informações sobre medicamentos e dispositivos, documentos de estudo

Estuda um medicamento regulamentado pela FDA dos EUA

Não

Estuda um produto de dispositivo regulamentado pela FDA dos EUA

Não

Essas informações foram obtidas diretamente do site clinicaltrials.gov sem nenhuma alteração. Se você tiver alguma solicitação para alterar, remover ou atualizar os detalhes do seu estudo, entre em contato com register@clinicaltrials.gov. Assim que uma alteração for implementada em clinicaltrials.gov, ela também será atualizada automaticamente em nosso site .