The Impact of Artificial Intelligence Virtual Patient Training on Dietetic Student Education

September 1, 2026 updated by: Min-Chun Tsai, Fu Jen Catholic University
In recent years, the application of Artificial Intelligence (AI) in the medical field has rapidly expanded, becoming a valuable tool in healthcare training. Studies have shown that AI-based communication education modules can improve communication skills among medical students. Communication skills are also critical in dietitian training.

Study Overview

Status

Active, not recruiting

Study Type

Interventional

Enrollment (Estimated)

88

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • New Taipei City, Taiwan, 242062
        • Fu Jen Catholic University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Junior and senior students in nutrition science.

Exclusion Criteria:

  • Those who have not taken nutrition assessment courses.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Triple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AI group
Practiced with AI virtual patients
Participants in the intervention group received a single-session, one-time nutrition education delivered via an AI-based chatbot, administered between the pre-test and post-test assessments. The chatbot provided personalized dietary guidance and nutrition-related information based on participant input. The control group received no intervention during the same period. This design allows comparison of changes in nutrition-related outcomes between the AI chatbot intervention group and the no-intervention control group across the pre- and post-test time points.
No Intervention: Control Group
Traditional self-practice methods

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Scores of Objective Structured Clinical Examination (OSCE).
Time Frame: Attent Objective Structured Clinical Examination about 1 hour, and knowledge test about 30 minutes.
Attent Objective Structured Clinical Examination about 1 hour, and knowledge test about 30 minutes.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 5, 2024

Primary Completion (Estimated)

August 30, 2026

Study Completion (Estimated)

August 30, 2026

Study Registration Dates

First Submitted

September 1, 2026

First Submitted That Met QC Criteria

September 1, 2026

First Posted (Actual)

September 4, 2026

Study Record Updates

Last Update Posted (Actual)

September 4, 2026

Last Update Submitted That Met QC Criteria

September 1, 2026

Last Verified

August 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • AI RD Training

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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