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

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

Nicole Daley¹, Alyssa Griswold¹, Laura Moreno¹

¹Genetic Counseling Program, School of Health & Natural Sciences, Bay Path University, Longmeadow, Massachusetts, United States of America.

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Summary

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.

Keywords:

Artificial intelligence (AI)chatbots clinical genetics genetic counselor

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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.