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Related Experiment Video

Updated: Jun 11, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Integrating Artificial Intelligence-Based Simulation into Serious Illness Conversation Training: A Pilot Medical

Lori A Herbst1,2, Daniel Kadden3,4, Danielle E Weber2,5

  • 1Department of Anesthesia, Division of Palliative Medicine, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.

Journal of Palliative Medicine
|June 10, 2026
PubMed
Summary

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Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...

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This summary is machine-generated.

Artificial intelligence (AI) offers a new way for medical students to practice serious illness conversations (SICs). This pilot study found AI tools can provide valuable practice and feedback for these crucial discussions.

Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare
  • Communication Skills Training

Background:

  • Serious illness conversations (SICs) are crucial in medical care but challenging for trainees.
  • Current educational methods for SICs are often time- and resource-intensive.
  • Trainee discomfort with SICs necessitates innovative training solutions.

Purpose of the Study:

  • To explore the utility of artificial intelligence (AI) technology for practicing serious illness conversations (SICs).
  • To evaluate AI-driven feedback on student performance in simulated SICs.
  • To assess the feasibility of AI as a training tool for advance care planning (ACP).

Main Methods:

  • Eleven medical students utilized an AI platform (2-Sigma) for SIC practice.
Keywords:
artificial intelligencegoals of care communicationmedical student educationserious illness conversationsimulation training

Related Experiment Videos

Last Updated: Jun 11, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

  • Students engaged in 27 simulated cases based on an Advance Care Planning (ACP) curriculum.
  • Transcripts of student-AI interactions were analyzed for interaction patterns, AI responses, and feedback quality.

    • Main Results:

    • Students applied ACP curriculum skills during AI-driven SIC practice.
    • AI responses demonstrated emotional awareness and effectively managed negative affect.
    • AI feedback covered key SIC components but showed variability in specificity.

    Conclusions:

    • AI technology shows promise as a supplementary tool for practicing SIC skills.
    • AI simulation can enhance trainee confidence and competence in serious illness communication.
    • Further research is warranted to optimize AI feedback for SIC training.