Comparison of Patient Understanding and Anxiety According to the Delivery Method of Educational Videos
NCT07550686 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 136
Last updated 2026-04-29
Summary
This study aims to evaluate whether a generative artificial intelligence (AI)-based educational video is more effective than a conventional video in improving patient understanding and reducing anxiety before radiation therapy.
In this prospective, randomized controlled study, participants will be assigned in a 1:1 ratio to either an AI-based avatar video group or a conventional video group consisting of PowerPoint slides with voice narration. Both videos will be standardized to have similar duration (approximately 5 minutes), identical key messages, and the same summary points.
After providing informed consent, participants will complete questionnaires before and after watching the assigned video, as well as during the first week of treatment. Outcomes will include anxiety levels, knowledge comprehension, and satisfaction with the educational video.
A total of 136 patients scheduled to undergo radiation therapy will be enrolled from two institutions. The findings of this study are expected to provide evidence on the effectiveness of AI-based educational tools in enhancing patient education and reducing pre-treatment anxiety.
Conditions
- Radiotherapy
- Patient Education
Interventions
- OTHER
-
AI-based educational video
Standardized 5-minute educational video delivered via AI-generated avatar to explain radiotherapy procedures, expected side effects, and self-care information. Designed to improve patient understanding and reduce anxiety.
- OTHER
-
Conventional educational video (PPT + narration)
5-minute educational video using PowerPoint slides with voice narration covering identical content as the AI-based video, including radiotherapy procedures, side effects, and self-care information.
Sponsors & Collaborators
-
Severance Hospital
collaborator OTHER -
Yonsei University
lead OTHER
Principal Investigators
-
Hwakyung Byun, MD,PhD · ongin Severance Hospital
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SUPPORTIVE_CARE
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 20 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-12-01
- Primary Completion
- 2027-05-28
- Completion
- 2027-11-28
Countries
- South Korea
Study Locations
More Related Trials
-
Patient Preferences in Empathetic Communication by AI vs Human Authorship
NCT06832891 ·Status: COMPLETED
-
AI-Assisted Chemotherapy Side Effect Management
NCT07198581 ·Status: RECRUITING ·Phase: NA
-
Patient Perspectives on Artificial Intelligence in Radiology
NCT05618860 ·Status: UNKNOWN
-
AI to Create Accessible & Reliable Patient Education Materials
NCT06997107 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
Multimodal Radiology Report to Improve Patient-centered Radiology
NCT07159438 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Evaluation of an Artificial Intelligence-enabled Clinical Assistant to Support Thyroid Cancer Management
NCT07234539 ·Status: ENROLLING_BY_INVITATION ·Phase: NA
-
Evaluation of AI-Generated Clinical Advice by Physicians
NCT06980467 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
AI Assisted Personalized Legacy Program (Reflections: My Story) for Patients With Serious Illness
NCT07009210 ·Status: RECRUITING ·Phase: NA
-
BaiXiaoAi AI Companion for Cancer Patient Follow-up
NCT07396142 ·Status: NOT_YET_RECRUITING
-
Evaluation of Social Robot Usability for Pediatric Patients and Carers
NCT04993599 ·Status: COMPLETED ·Phase: NA
-
An AI Educational Agent for Medical Machine Learning Courses
NCT07449182 ·Status: RECRUITING ·Phase: NA
-
Patient Care Outreach, Navigation, Technology and Support 2.0
NCT06648278 ·Status: RECRUITING ·Phase: NA
-
NLP-Based Feedback to Improve Risk Comms and Informed Shared Decision Making
NCT05923684 ·Status: RECRUITING ·Phase: NA
-
Safe and Explainable AI
NCT06694181 ·Status: RECRUITING
-
AI-Generated Audiovisual Education and Osteoporosis Knowledge
NCT07436000 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence-based Voice Assessment of Children and Adults Respiratory Conditions
NCT06630078 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Effectiveness of Chatbot for Improving Caregiving Outcomes in Primary Caregivers of Geriatric Pneumonia Patients: A Study on Knowledge, Attitude and Practice.
NCT07463443 ·Status: RECRUITING ·Phase: NA
-
Whole-process Quality Improvement of Endovascular Treatment Basd on an AI-aided Clinical Feedback System
NCT05874596 ·Status: COMPLETED ·Phase: NA
-
Evaluating the Real World Performance of an AI Based Lung Nodule Detection Tool
NCT06597968 ·Status: ACTIVE_NOT_RECRUITING
-
Emotional Assessment and Tiered Individualized Psychological Support of the Artificial Intelligence Robot
NCT07365761 ·Status: RECRUITING ·Phase: NA
-
Effectiveness of CadAI-B Dx for Decision Support in Breast Ultrasound
NCT07287111 ·Status: COMPLETED ·Phase: NA
-
Large Language Models to Aid Gynecological Oncology Treatment
NCT06865534 ·Status: RECRUITING ·Phase: NA
-
Remote Monitoring and Symptom Management Digital Application
NCT07553572 ·Status: RECRUITING ·Phase: NA
-
Learning Diagnostic Reasoning Through AI
NCT06754826 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence in Healthcare: Advanced Evaluation of Medical Online Content. AI-driven Quality Assessment of YouTube Videos Providing Information on Incontinence After Cancer Surgery.
NCT05960734 ·Status: COMPLETED