← Back to Clinical Trials
Recruiting NCT07550686

NCT07550686 Comparison of Patient Understanding and Anxiety According to the Delivery Method of Educational Videos

◆ AI Clinical Summary
Plain-language summary for patients
Clinical Trial Summary
NCT ID NCT07550686
Status Recruiting
Phase —
Sponsor Yonsei University
Condition Radiotherapy
Study Type INTERVENTIONAL
Enrollment 136 participants
Start Date 2025-12-01
Primary Completion 2027-05-28

Eligibility & Interventions

Sex All sexes
Min Age 20 Years
Max Age N/A
Study Type INTERVENTIONAL
Interventions
AI-based educational videoConventional educational video (PPT + narration)

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.

This trial targets 136 participants in total. It began in 2025-12-01 with a primary completion date of 2027-05-28.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief 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.

Eligibility Criteria

Inclusion Criteria: * Age ≥ 20 years * Patients scheduled for radiotherapy * Ability to watch video and comprehend audio, as assessed by the investigator * ECOG performance status 0-1 Exclusion Criteria: * Patients unable to complete questionnaires due to cognitive impairment or psychiatric disorders

Contact & Investigator

Central Contact

HwaKyung Byun, MD, PhD

✉ hkbyun05@yuhs.ac

📞 +82-31-5189-8166

Principal Investigator

Hwakyung Byun, MD,PhD

PRINCIPAL INVESTIGATOR

ongin Severance Hospital

Frequently Asked Questions

Who can join the NCT07550686 clinical trial?

This trial is open to participants of all sexes, aged 20 Years or older, studying Radiotherapy. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07550686 currently recruiting?

Yes, NCT07550686 is actively recruiting participants. Contact the research team at hkbyun05@yuhs.ac for enrollment information.

Where is the NCT07550686 trial being conducted?

This trial is being conducted at Yongin-si, South Korea.

Who is sponsoring the NCT07550686 clinical trial?

NCT07550686 is sponsored by Yonsei University. The principal investigator is Hwakyung Byun, MD,PhD at ongin Severance Hospital. The trial plans to enroll 136 participants.

Related Trials

ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: November 2026  ·  Data Methodology