NCT07159438

Multimodal Radiology Report to Improve Patient-centered Radiology

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 200 (estimated)
• Sponsor: Harvard Medical School (HMS and HSDM) · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

The goal of this study is to learn if AI-generated video explanations help people better understand their radiology reports. The main question it aims to answer is: Do AI-generated videos help participants understand their medical imaging results better than written reports alone? Participants will send their own radiology images and written reports to the research team; receive a personalized AI-generated video that explains their results in easy-to-understand language; watch their video explanation (about 1-5 minutes long); and complete 15-minute online survey about how well the video helped them understand their results.

Conditions

• Health Literacy
• Diagnostic Imaging
• Imaging Results
• Artificial Intelligence

Interventions

Type	Name	Description
OTHER	AI-Generated Video Radiology Report Explanation	Participants receive a personalized video explanation of their own radiology imaging results, generated using artificial intelligence technology. The AI converts the participant's existing written radiology report into an easy-to-understand video format featuring an avatar narrator. Each video is approximately 1-5 minutes long and explains the participant's specific imaging findings in plain language. All AI-generated videos are reviewed by qualified medical personnel before delivery to ensure accuracy and prevent misleading information. Participants watch their personalized video and then complete survey to evaluate how well the video helped them understand their radiology results compared to the original written report.

Timeline

• Start date: 2026-12-01
• Primary completion: 2027-12-01
• Completion: 2028-12-01
• First posted: 2025-09-08
• Last updated: 2025-09-08