Not yet recruiting NCT07159438
Multimodal Radiology Report to Improve Patient-centered Radiology
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI-Generated Video Radiology Report Explanation.
- Who it may be relevant to
- Registry conditions: Health Literacy, Diagnostic Imaging, Imaging Results, Artificial Intelligence. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Overview
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.
Interventions
- 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 a
Primary outcome measures
- Change in Patient Understanding of Radiology Report After AI-Generated Video Explanation [Time frame: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
- Change in Patient Understanding of Radiology Images After AI-Generated Video Explanation [Time frame: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
Secondary outcome measures (11)
- Change in Ability to Explain Radiology Findings to Family Members After AI-Generated Video Explanation [Time frame: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
- Change in Patient Confidence Discussing Radiology Results with Healthcare Provider After AI-Generated Video Explanation [Time frame: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
- Change in Patient Worry About Misunderstanding Radiology Findings After AI-Generated Video Explanation [Time frame: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
- Perceived Usefulness of AI-Generated Video Radiology Explanation [Time frame: Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
- Perceived Ease of Use of AI-Generated Video Radiology Explanation [Time frame: Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
- Patient Trust in AI-Generated Video Radiology Explanation [Time frame: Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
- Patient Intention to Use AI-Generated Video Explanations for Future Radiology Reports [Time frame: Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
- Overall Patient Experience with AI-Generated Video Radiology Explanation [Time frame: Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
- Patient Likelihood to Recommend AI-Generated Video Radiology Explanations [Time frame: Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)RetryClaude can make mistakes. Please double-check responses.]
- Change in Patient Knowledge of Body Part Described in Radiology Report After AI-Generated Video Explanation [Time frame: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
- Understanding of Finding Significance [Time frame: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)]
Eligibility criteria
Inclusion criteria
- Age 18+ adults who have taken a radiology examination.
Exclusion criteria
- N/A
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- N/A
- Model
- Single group
- Masking
- Open label
- Primary purpose
- Health services research
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT07159438 · IRB24-1619