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Updated: Jul 3, 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

Artificial Intelligence-Based Chatbots in Genetic Counseling Practice: Current Uptake, Utilization, and Perspectives.

Nicole Daley, Alyssa Griswold, Laura Moreno

    Medrxiv : the Preprint Server for Health Sciences
    |July 2, 2026
    PubMed
    Summary
    This summary is machine-generated.

    AI chatbots show promise for genetic counseling by reducing repetitive tasks and improving efficiency. However, concerns about patient understanding and data accuracy must be addressed before widespread adoption.

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    Last Updated: Jul 3, 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

    Area of Science:

    • Genetics and Bioinformatics
    • Artificial Intelligence in Healthcare
    • Medical Informatics

    Background:

    • AI-driven chatbots are increasingly used in healthcare for administrative tasks and patient education.
    • Their application in genetic counseling is underexplored, despite potential benefits.

    Purpose of the Study:

    • To investigate the adoption, perceptions, and utility of AI-based chatbots in genetic counseling practice.
    • To identify barriers and facilitators for integrating AI chatbots into genetic counseling workflows.

    Main Methods:

    • A survey was distributed to 217 genetic counselors and students in North America.
    • The survey assessed current chatbot usage, confidence levels, perceived benefits, and limitations.

    Main Results:

    • While most participants use general AI chatbots, clinical genetics chatbot use is low (8.8%).
    • Key benefits include reduced repetitive tasks and time savings; major concerns involve patient comprehension and data accuracy.
    • Confidence is highest for family history gathering and lowest for disclosing complex results.

    Conclusions:

    • AI chatbots have potential as supplementary tools to enhance genetic counseling efficiency.
    • Addressing concerns regarding patient comprehension, data accuracy, and providing adequate AI training is crucial for successful implementation.
    • Further research and structured education are needed for AI integration in genetic counseling.