CardiacNCT07400172
AI-Generated Video Feedback to Improve Technical Skills in Coronary Artery Bypass Grafting
A study testing AI-Guided Video Feedback Intervention in people with Cardiac and Surgery (Cardiac), run by China National Center for Cardiovascular Diseases at 1 site in China.
Trial summary
This study aims to evaluate whether targeted video feedback generated by an artificial intelligence (AI)-based surgical performance assessment model can support improvement in technical skills among cardiac surgeons performing coronary artery bypass grafting (CABG). Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Cardiac, Surgery (Cardiac), Education
- What is being tested?
- AI-Guided Video Feedback Intervention
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 100 participants
- Where
- 1 siteChina
- Study dates
- 31 Jan 2026to 30 Apr 2026
- 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 Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- Baseline AI-assessed technical performance ranked in the lower 50% within the scoring system in CAMERA study (NCT06739005)
Who cannot join
- Unwilling to attend
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
China1 site
Fuwai Hospital
Beijing, Beijing Municipality, 102300
Lihua Zhang Zhang, M.D, Ph.D, 15920826832, leilubi@fuwai.com
About this study
This study aims to evaluate whether targeted video feedback generated by an artificial intelligence (AI)-based surgical performance assessment model can support improvement in technical skills among cardiac surgeons performing coronary artery bypass grafting (CABG). This is a single-group, self-controlled, pre-post interventional study. Participating surgeons will submit a baseline CABG surgical video, which will be assessed by both an AI model and blinded human expert raters using standardized scoring criteria. Based on the AI assessment, surgeons will receive personalized video feedback highlighting operative steps associated with lower technical performance. After a one-month self-directed review period, a follow-up CABG surgical video will be submitted and evaluated using the same process. Changes in human-rated technical skill scores between baseline and follow-up will be used to assess the potential educational impact of AI-generated video feedback.
Read the detailed description
Coronary artery bypass grafting (CABG) is a complex surgical procedure that requires a high level of technical skill from cardiac surgeons. Variability in surgical technique may influence procedural quality and patient outcomes. Recent advances in artificial intelligence (AI) have enabled automated assessment of surgical performance using operative video data, creating new opportunities for objective feedback and surgical education.
This study aims to evaluate whether targeted video feedback generated by an AI-based surgical performance assessment model can help cardiac surgeons improve their technical skills in CABG procedures. Participating surgeons whose baseline technical performance ranked in the lower half of the AI scoring system will receive personalized video feedback highlighting operative steps and maneuvers associated with lower performance scores.
In this single-group, self-controlled study, each participating surgeon will submit a baseline CABG surgical video, which will be independently evaluated by both the AI model and a panel of experienced cardiac surgeons using standardized scoring criteria. After receiving AI-generated video feedback, surgeons will be given one month to review and reflect on the feedback without additional formal training or coaching. A follow-up CABG surgical video will then be submitted and assessed using the same evaluation process.
The primary outcome of the study is the change in technical skill scores assigned by human expert raters between the baseline and follow-up videos. Secondary outcomes include surgeons' self-assessments of AI-identified performance deficits, agreement between AI-generated feedback and human expert feedback, and selected patient postoperative in-hospital outcomes. The findings of this study may inform the role of AI-assisted video feedback as a scalable educational tool for surgical skill development.
- Conditions
- Cardiac, Surgery (Cardiac), Education, Artificial Intelligence (AI)
- Being tested
- AI-Guided Video Feedback Intervention
- Keywords
- Coronary Artery Bypass Grafting, Surgical Education, Video-Based Feedback, Artificial Intelligence
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-Guided Video Feedback InterventionBehavioural
Participants in this study will receive a personalized educational intervention consisting of AI-generated video feedback based on their baseline coronary artery bypass grafting (CABG) surgical videos. The AI model analyzes surgical performance and identifies specific operative steps with lower technical skill scores. Curated video clips highlighting these areas are provided to the surgeons for self-review and reflection. No additional formal training or coaching is given during the one-month intervention period, after which a follow-up surgical video is submitted for re-evaluation.
| Study group | Role | What they receive |
|---|---|---|
| AI-Guided Video Feedback Intervention | Experimental | Participants in this study will receive a personalized educational intervention consisting of AI-generated video feedback based on their baseline coronary artery bypass grafting (CABG) surgical videos. The AI model analyzes surgical performance and identifies specific operative steps with lower technical skill scores. Curated video clips highlighting these areas are provided to the surgeons for self-review and reflection. No additional formal training or coaching is given during the one-month intervention period, after which a follow-up surgical video is submitted for re-evaluation. Receives: Behavioral: AI-Guided Video Feedback Intervention |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change in Human Expert-Rated Technical Skill Score Between Baseline and Follow-Up CABG Videos
The primary outcome is the change in technical skill scores assigned by a panel of blinded human expert raters, who independently evaluate anonymized coronary artery bypass grafting (CABG) surgical videos submitted at baseline and one month after receiving AI-generated video feedback. The scoring uses a standardized rubric to assess overall surgical technical performance. The higher score, the better performance: respect for tissue, time and motion, instrument handling, knowledge of instruments, use of assistants, flow of operation and forward planning, and knowledge of the specific procedure. Each domain was scored on a 5-point Likert scale, where 1 indicated poor performance and 5 represented excellence. In addition, each rater provided an overall impression score (1-5) to capture their holistic assessment of surgical performance. The two scores were scaled to 100 points and the final score consists of 70% of 7-domain rating sum scores and 30% of overall impression score.
Measured: Baseline, 1 month
Secondary outcomes (13)
Surgeon self-assessments of the AI feedback
Surgeons will review the AI-generated video clips highlighting technical performance deficits and complete a self-assessment questionnaire evaluating their satisfaction of the AI feedback.
Measured: 1 month
Consistency between AI feedback and human expert feedback.
This outcome assesses the consistency between the AI-generated surgical performance feedback and evaluations provided by human expert raters. AI-score was generated by a two-stage deep learning framework and human expert raters' score was generated by a validated 7-domain rating scale as detailed in the primary outcome. The intraclass correlation coefficient (ICC) will be used to assess the consistency between the surgical technique scores assessed by the AI model and those rated by human expert raters.
Measured: Baseline, 1 month
Postoperative in-hospital outcomes: the icidence of major complications
Patient postoperative in-hospital outcomes will be collected and analyzed to explore any associations with changes in surgeon technical performance following the AI feedback intervention. The incidence of major complications (a composite outcome of death, acute kidney injury, myocardial infarction and stroke)
Measured: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of death
The associations with changes in surgeon technical performance following the AI feedback intervention and the incidence of death.
Measured: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of acute kidney injury
The associations with changes in surgeon technical performance following the AI feedback intervention and the incidence of acute kidney injury.
Measured: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of myocardial infarction
The associations with changes in surgeon technical performance following the AI feedback intervention and the incidence of myocardial infarction.
Measured: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of stroke
The associations with changes in surgeon technical performance following the AI feedback intervention and the incidence of stroke.
Measured: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of secondary thoracotomy
The associations with changes in surgeon technical performance following the AI feedback intervention and the incidence of secondary thoracotomy.
Measured: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of IABP implantation
The associations with changes in surgeon technical performance following the AI feedback intervention and the incidence of IABP implantation.
Measured: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of ECMO implantation
The associations with changes in surgeon technical performance following the AI feedback intervention and the incidence of ECMO implantation.
Measured: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of bedside hemofiltration
The associations with changes in surgeon technical performance following the AI feedback intervention and the incidence of bedside hemofiltration.
Measured: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of peritoneal dialysis
The associations with changes in surgeon technical performance following the AI feedback intervention and the incidence of peritoneal dialysis.
Measured: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of tracheotomy
The associations with changes in surgeon technical performance following the AI feedback intervention and the incidence of tracheotomy.
Measured: Baseline, 1 month
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted10 Feb 2026
- Study start31 Jan 2026 (estimated)
- Primary completion31 Mar 2026 (estimated)
- Study completion30 Apr 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for CardiacStudies of the same condition, open and under way.
- More trials run by China National Center for Cardiovascular DiseasesThe sponsor's other registered studies.
- 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
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Model description
- This study uses a single-group, self-controlled interventional model. Each participating cardiac surgeon acts as their own control by comparing technical skill performance before and after receiving an AI-generated targeted video feedback intervention. The intervention consists of personalized surgical video clips highlighting suboptimal technical maneuvers identified by an AI-based assessment model. No randomization or control group is involved. The study evaluates changes in surgical skill scores assessed by blinded human experts pre- and post-intervention to determine the potential educational impact of the AI feedback.
- Masking
- None (open label)
- Enrolment
- 100 participants (estimated)
Sponsor and investigators
- Sponsor type
- Other government
- Responsible party
- Principal investigator, Shengshou Hu, China National Center for Cardiovascular Diseases
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07400172
- Sponsor's protocol ID
- FW-HSS
- Status last verified
- Feb 2026
- First submitted
- 23 Dec 2025
- Last updated
- 10 Feb 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: Data collected for the study will be made available publicly upon reasonable request (huss@fuwai.com) after two years of publication.
Study at a glance
From the registry record, last updated by the sponsor on 10 Feb 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- AI-Generated Video Feedback to Improve Technical Skills in Coronary Artery Bypass Grafting
- ClinicalTrials.gov ID
- NCT07400172
- Acronym / sponsor ID
- FW-HSS
- Conditions
- Cardiac, Surgery (Cardiac), Education, Artificial Intelligence (AI)
- Keywords
- Coronary Artery Bypass Grafting, Surgical Education, Video-Based Feedback, Artificial Intelligence
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 100 participants (estimated)
- Lead sponsor
- China National Center for Cardiovascular DiseasesOther government
- Study start
- 31 Jan 2026 (estimated)
- Primary completion
- 31 Mar 2026 (estimated)
- Study completion
- 30 Apr 2026 (estimated)
- First posted
- 10 Feb 2026 (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.
This study aims to evaluate whether targeted video feedback generated by an artificial intelligence (AI)-based surgical performance assessment model can support improvement in technical skills among cardiac surgeons performing coronary artery bypass grafting (CABG). This is a single-group, self-controlled, pre-post interventional study. Participating surgeons will submit a baseline CABG surgical video, which will be assessed by both an AI model and blinded human expert raters using standardized scoring criteria. Based on the AI assessment, surgeons will receive personalized video feedback highlighting operative steps associated with lower technical performance. After a one-month self-directed review period, a follow-up CABG surgical video will be submitted and evaluated using the same process. Changes in human-rated technical skill scores between baseline and follow-up will be used to assess the potential educational impact of AI-generated video feedback.
Detailed description
Coronary artery bypass grafting (CABG) is a complex surgical procedure that requires a high level of technical skill from cardiac surgeons. Variability in surgical technique may influence procedural quality and patient outcomes. Recent advances in artificial intelligence (AI) have enabled automated assessment of surgical performance using operative video data, creating new opportunities for objective feedback and surgical education.
This study aims to evaluate whether targeted video feedback generated by an AI-based surgical performance assessment model can help cardiac surgeons improve their technical skills in CABG procedures. Participating surgeons whose baseline technical performance ranked in the lower half of the AI scoring system will receive personalized video feedback highlighting operative steps and maneuvers associated with lower performance scores.
In this single-group, self-controlled study, each participating surgeon will submit a baseline CABG surgical video, which will be independently evaluated by both the AI model and a panel of experienced cardiac surgeons using standardized scoring criteria. After receiving AI-generated video feedback, surgeons will be given one month to review and reflect on the feedback without additional formal training or coaching. A follow-up CABG surgical video will then be submitted and assessed using the same evaluation process.
The primary outcome of the study is the change in technical skill scores assigned by human expert raters between the baseline and follow-up videos. Secondary outcomes include surgeons' self-assessments of AI-identified performance deficits, agreement between AI-generated feedback and human expert feedback, and selected patient postoperative in-hospital outcomes. The findings of this study may inform the role of AI-assisted video feedback as a scalable educational tool for surgical skill development.
Study design
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
- Model description
- This study uses a single-group, self-controlled interventional model. Each participating cardiac surgeon acts as their own control by comparing technical skill performance before and after receiving an AI-generated targeted video feedback intervention. The intervention consists of personalized surgical video clips highlighting suboptimal technical maneuvers identified by an AI-based assessment model. No randomization or control group is involved. The study evaluates changes in surgical skill scores assessed by blinded human experts pre- and post-intervention to determine the potential educational impact of the AI feedback.
| Arm | Type | Receives |
|---|---|---|
| AI-Guided Video Feedback Intervention | Experimental | Behavioral: AI-Guided Video Feedback InterventionParticipants in this study will receive a personalized educational intervention consisting of AI-generated video feedback based on their baseline coronary artery bypass grafting (CABG) surgical videos. The AI model analyzes surgical performance and identifies specific operative steps with lower technical skill scores. Curated video clips highlighting these areas are provided to the surgeons for self-review and reflection. No additional formal training or coaching is given during the one-month intervention period, after which a follow-up surgical video is submitted for re-evaluation. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (1 listed)
- Baseline AI-assessed technical performance ranked in the lower 50% within the scoring system in CAMERA study (NCT06739005)
Key exclusion criteria (1 listed)
- Unwilling to attend
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-Guided Video Feedback InterventionParticipants in this study will receive a personalized educational intervention consisting of AI-generated video feedback based on their baseline coronary artery bypass grafting (CABG) surgical videos. The AI model analyzes surgical performance and identifies specific operative steps with lower technical skill scores. Curated video clips highlighting these areas are provided to the surgeons for self-review and reflection. No additional formal training or coaching is given during the one-month intervention period, after which a follow-up surgical video is submitted for re-evaluation. | Behavioural | AI-Guided Video Feedback Intervention |
Primary outcome
Change in Human Expert-Rated Technical Skill Score Between Baseline and Follow-Up CABG Videos
Time frame: Baseline, 1 month
The primary outcome is the change in technical skill scores assigned by a panel of blinded human expert raters, who independently evaluate anonymized coronary artery bypass grafting (CABG) surgical videos submitted at baseline and one month after receiving AI-generated video feedback. The scoring uses a standardized rubric to assess overall surgical technical performance. The higher score, the better performance: respect for tissue, time and motion, instrument handling, knowledge of instruments, use of assistants, flow of operation and forward planning, and knowledge of the specific procedure. Each domain was scored on a 5-point Likert scale, where 1 indicated poor performance and 5 represented excellence. In addition, each rater provided an overall impression score (1-5) to capture their holistic assessment of surgical performance. The two scores were scaled to 100 points and the final score consists of 70% of 7-domain rating sum scores and 30% of overall impression score.
13 secondary outcomes
Surgeon self-assessments of the AI feedback
Time frame: 1 month
Consistency between AI feedback and human expert feedback.
Time frame: Baseline, 1 month
Postoperative in-hospital outcomes: the icidence of major complications
Time frame: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of death
Time frame: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of acute kidney injury
Time frame: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of myocardial infarction
Time frame: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of stroke
Time frame: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of secondary thoracotomy
Time frame: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of IABP implantation
Time frame: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of ECMO implantation
Time frame: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of bedside hemofiltration
Time frame: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of peritoneal dialysis
Time frame: Baseline, 1 month
Postoperative in-hospital outcomes: the incidence of tracheotomy
Time frame: Baseline, 1 month
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 10 Feb 2026.
- Individual participant dataSharing planned: Yes. Data collected for the study will be made available publicly upon reasonable request (huss@fuwai.com) after two years of publication.
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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.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI-Guided Video Feedback Intervention in people with Cardiac and Surgery (Cardiac), run by China National Center for Cardiovascular Diseases at 1 site in China.
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 10 Feb 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
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?
Contact Lihua Zhang Zhang, M.D, Ph.D (13810483387, zhanghaibo@fuwai.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change in Human Expert-Rated Technical Skill Score Between Baseline and Follow-Up CABG Videos (time frame: Baseline, 1 month). 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 10 Feb 2026.