Health LiteracyNCT07159438
Multimodal Radiology Report to Improve Patient-centered Radiology
A study testing AI-Generated Video Radiology Report Explanation in people with Health Literacy and Diagnostic Imaging, run by Harvard Medical School (HMS and HSDM).
Trial 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… Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Health Literacy, Diagnostic Imaging, Imaging Results
- What is being tested?
- AI-Generated Video Radiology Report Explanation
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 200 participants
- Where
- No sites listed yet
- Study dates
- Dec 2026to Dec 2028
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Age 18+ adults who have taken a radiology examination.
Who cannot join
- N/A
About this study
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.
- Being tested
- AI-Generated Video Radiology Report Explanation
- Keywords
- Patient-centered Understanding, Radiology Reports, Artificial Intelligence
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-Generated Video Radiology Report ExplanationOther
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.
| Study group | Role | What they receive |
|---|---|---|
| AI Video Explanation | Experimental | Not described Receives: Other: AI-Generated Video Radiology Report Explanation |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change in Patient Understanding of Radiology Report After AI-Generated Video Explanation
Change in patient-reported understanding score measured by the question "How would you rank your understanding of the radiology report?" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Not at all) to 5 (Very well), where higher scores indicate better understanding. The primary outcome is calculated as the difference between post-video and pre-video understanding scores, with positive values indicating improved understanding.
Measured: 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
Change in patient-reported understanding score measured by the question "How would you rank your understanding of the radiology image?" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Not at all) to 5 (Very well), where higher scores indicate better understanding. The outcome is calculated as the difference between post-video and pre-video understanding scores, with positive values indicating improved understanding.
Measured: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)
Secondary outcomes (11)
Change in Ability to Explain Radiology Findings to Family Members After AI-Generated Video Explanation
Change in patient-reported confidence score measured by the statement "I can explain the main findings of my radiology report to my family members" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Strongly Disagree) to 5 (Strongly Agree), where higher scores indicate greater confidence in explaining findings. The outcome is calculated as the difference between post-video and pre-video confidence scores, with positive values indicating improved confidence.
Measured: 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
Change in patient-reported confidence score measured by the statement "I feel confident discussing my radiology results with my healthcare provider" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Strongly Disagree) to 5 (Strongly Agree), where higher scores indicate greater confidence. The outcome is calculated as the difference between post-video and pre-video confidence scores, with positive values indicating improved confidence.
Measured: 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
Change in patient-reported worry score measured by the statement "I am worried about misunderstanding my radiology findings" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Not worried) to 5 (Extremely worried), where lower scores indicate less worry. The outcome is calculated as the difference between post-video and pre-video worry scores, with negative values indicating reduced worry.
Measured: 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
Patient-reported perceived usefulness score measured by the statement "Using the AI video explanation improves my understanding of my radiology findings" assessed after viewing the AI-generated video explanation. Scores range from 1 (Strongly Disagree) to 5 (Strongly Agree), where higher scores indicate greater perceived usefulness of the AI video explanation.
Measured: 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
Patient-reported ease of use score measured by the statement "The AI video explanation is easy to follow and interact with" assessed after viewing the AI-generated video explanation. Scores range from 1 (Strongly Disagree) to 5 (Strongly Agree), where higher scores indicate greater perceived ease of use of the AI video explanation.
Measured: Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)
Patient Trust in AI-Generated Video Radiology Explanation
Patient-reported trust score measured by the statement "I trust the AI's explanation to accurately explain my radiology findings" assessed after viewing the AI-generated video explanation. Scores range from 1 (Strongly Disagree) to 5 (Strongly Agree), where higher scores indicate greater trust in the AI explanation's accuracy.
Measured: 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
Patient-reported intention to use score measured by the statement "I would like to receive this type of AI-based explanation for future radiology reports" assessed after viewing the AI-generated video explanation. Scores range from 1 (Strongly Disagree) to 5 (Strongly Agree), where higher scores indicate greater intention to use AI explanations in the future.
Measured: Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)
Overall Patient Experience with AI-Generated Video Radiology Explanation
Patient-reported overall experience score measured by the question "Overall, how was your experience with the video report?" assessed after viewing the AI-generated video explanation. Scores range from 1 (Poor) to 5 (Excellent), where higher scores indicate better overall experience with the AI video explanation.
Measured: Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)
Patient Likelihood to Recommend AI-Generated Video Radiology Explanations
Patient-reported recommendation likelihood score measured by the statement "I would recommend this type of video explanation to other people to understand their radiology findings" assessed after viewing the AI-generated video explanation. Scores range from 1 (Strongly Disagree) to 5 (Strongly Agree), where higher scores indicate greater likelihood to recommend the AI video explanation to others.
Measured: 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
Change in patient knowledge measured by the question "Do you know which part of your body was described in the report?" assessed before and after viewing the AI-generated video explanation. Responses are Yes/No, where the outcome is calculated as the proportion of participants who gained knowledge (changed from "No" to "Yes") after viewing the video.
Measured: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)
Understanding of Finding Significance
Change in participant's understanding of the significance of their radiology findings measured on a 5-point Likert scale (1=Not at all to 5=Very well), comparing pre-video to post-video scores
Measured: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 Sep 2025
- Study startDec 2026 (estimated)
- Primary completionDec 2027 (estimated)
- Study completionDec 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Health LiteracyStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Harvard Medical School (HMS and HSDM)
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Pranav Rajpurkar, Harvard Medical School (HMS and HSDM)
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07159438
- Sponsor's protocol ID
- IRB24-1619
- Status last verified
- Aug 2025
- First submitted
- 12 Aug 2025
- Last updated
- 8 Sep 2025
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 8 Sep 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Multimodal Radiology Report to Improve Patient-centered Radiology
- ClinicalTrials.gov ID
- NCT07159438
- Acronym / sponsor ID
- IRB24-1619
- Keywords
- Patient-centered Understanding, Radiology Reports, Artificial Intelligence
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Harvard Medical School (HMS and HSDM)University, hospital or other
- Study start
- Dec 2026 (estimated)
- Primary completion
- Dec 2027 (estimated)
- Study completion
- Dec 2028 (estimated)
- First posted
- 8 Sep 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Health services research
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| AI Video Explanation | Experimental | Other: AI-Generated Video Radiology Report Explanation |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- Age 18+ adults who have taken a radiology examination.
Key exclusion criteria (1 listed)
- N/A
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-Generated Video Radiology Report ExplanationParticipants 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. | Other | AI Video Explanation |
Primary outcome
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-reported understanding score measured by the question "How would you rank your understanding of the radiology report?" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Not at all) to 5 (Very well), where higher scores indicate better understanding. The primary outcome is calculated as the difference between post-video and pre-video understanding scores, with positive values indicating improved understanding.
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)
Change in patient-reported understanding score measured by the question "How would you rank your understanding of the radiology image?" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Not at all) to 5 (Very well), where higher scores indicate better understanding. The outcome is calculated as the difference between post-video and pre-video understanding scores, with positive values indicating improved understanding.
11 secondary outcomes
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)
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 8 Sep 2025.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
A study testing AI-Generated Video Radiology Report Explanation in people with Health Literacy and Diagnostic Imaging, run by Harvard Medical School (HMS and HSDM).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 8 Sep 2025. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
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)). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 8 Sep 2025.