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Updated: May 24, 2026

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

Published on: December 23, 2025

Teaching Applied Artificial Intelligence in Health Schools: An Example from Rouen and Nice Universities in France.

Stefan J Darmoni1, Benjamin Popoff1, Pierre Decazes2,3

  • 1Department of Digital Health, Rouen University Hospital, France.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary

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A new teaching module on applied artificial intelligence (AI) was created for healthcare professionals. This initiative aims to enhance AI skills for improving patient care and health outcomes.

Area of Science:

  • Medical Education
  • Digital Health
  • Artificial Intelligence in Healthcare

Background:

  • The French Ministry of Health mandates digital health education integration.
  • Healthcare professionals require training in emerging technologies like AI.
  • Existing educational resources for applied AI in health are limited.

Purpose of the Study:

  • To develop and implement a comprehensive teaching module on applied artificial intelligence (AI).
  • To address the need for digital health competencies among residents, fellows, and Continuing Medical Education (CME) professionals.
  • To equip health professionals with AI knowledge and practical skills to improve healthcare quality.

Main Methods:

  • Curriculum development focusing on AI theory and practical applications.
Keywords:
Artificial IntelligenceDigital HealthEducationTeaching materials

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

Published on: December 23, 2025

  • Inclusion of AI tutorials tailored for various health specialties.
  • Delivery of the module to target healthcare professional groups.

    • Main Results:

    • A structured teaching module covering AI fundamentals and health applications was successfully developed.
    • The module provides practical tutorials to enhance user proficiency.
    • The initiative responds directly to governmental directives for digital health education.

    Conclusions:

    • The developed AI teaching module is a key resource for upskilling healthcare professionals.
    • Enhanced AI competency among health professionals can lead to improved healthcare quality and patient outcomes.
    • This initiative supports the broader goal of integrating advanced digital health solutions into clinical practice.