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Not yet recruitingNCT07766551CorAIUpdated Aug 14, 2026

Construction and Validation of a Coronary Artery Disease-Specific Large Language Model and Its Evaluation Framework (CorAI)

An observational study in Coronary Heart Disease (CHD) and Artifical Intelligence, sponsored by China National Center for Cardiovascular Diseases. Not yet recruiting at 3 sites in China. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-08-14.

Sponsored by China National Center for Cardiovascular Diseases · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
640
Ages
18 Years and older
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-12

Among 25 studies in Coronary Disease by China National Center for Cardiovascular Diseases — 12 open to participants now, 13 under way, none of them phase 3. Coronary Disease · China National Center for Cardiovascular Diseases.

Planned enrollment
11th of 12
640 · median 5,000
Started
2026
with 3 others
Observational
12 of 25
4 open now
Primary completion
2027-01
later than 7 of 12 live
Registered
24th of 25
by date

Among the 25 studies in Coronary Disease by China National Center for Cardiovascular Diseases, this one is the 11th largest by planned enrollment of the 12 observational ones that give a count, is one of 4 that started in 2026, is one of 12 observational ones, reaches primary completion later than 7 of the 12 other live ones, and was the 24th registered.

Coronary Disease

1,520 studies on the registry are indexed under Coronary Disease; 167 are open to participants now.

Browse Coronary Disease studies →

Open to participants now

12 of the 25 studies in Coronary Disease by China National Center for Cardiovascular Diseases are open now, in 1 country. Recruiting first, the newest first:

6 more — sign in →

By country, each count listing its studies:

All 12 open studies →

Where they have run

Who these studies take

Of the 106 Coronary Disease studies recruiting now, 64 (60%) set no upper age limit and 19 (18%) stop at 75 or younger; 8 take children under 18; 10 take healthy volunteers.

This study: 18 Years and older · all sexes · no healthy volunteers.

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Watch this landscapeDownload CSVNarrow it in search →With an account: a weekly mail of what changed among 25 studies in Coronary Disease by China National Center for Cardiovascular Diseases, or all of them as a file.
02

Study summary

Coronary artery disease (CAD) affects an estimated 11.39 million people in China, and mortality has continued to rise since 2012. Quality-of-care data indicate persistent gaps in diagnostic and therapeutic guideline adherence, incomplete implementation of secondary prevention, and suboptimal risk-factor control. Large language models (LLMs) can rapidly retrieve and integrate literature, medical records, and multimodal clinical data, and may support clinical decision-making. However, most existing medical LLMs are general-purpose, are trained predominantly on published literature and web text rather than authentic clinical records, and have not been validated with real patient data. No disease-specific LLM for CAD currently exists, and no evaluation framework tailored to CAD has been established; existing benchmarks are general-purpose, lack specialty-specific risk grading, are not rigorously anchored to current guidelines, and emphasize literal accuracy over clinically critical reasoning steps and prescription concordance.

This prospective, multicenter, observational study will enroll approximately 640 patients with confirmed or suspected CAD at Fuwai Hospital and collaborating centers. No study-specific intervention, examination, biospecimen collection, or additional follow-up visit is performed; all clinical decisions are made independently by the treating physician according to routine standards of care. For consenting participants, routinely generated clinical documentation from the index outpatient visit or hospitalization - including medical history, laboratory results, imaging and coronary angiography/coronary CT angiography reports, physician notes, online consultation records, and follow-up records - will be de-identified and used to construct a high-quality multimodal CAD dataset. This dataset will support the development of a CAD-specific large language model (CorAI), the construction of an evaluation framework spanning eight predefined clinical scenarios and multiple assessment dimensions, and external validation of the model at participating centers.

The primary objectives are to characterize the completeness and quality of the constructed prospective cohort dataset, and to quantify the guideline concordance of CorAI-generated clinical recommendations as adjudicated by a blinded panel of cardiologists.

03

Conditions studied

  • Coronary Heart Disease (CHD)
  • Artifical Intelligence

Browse trials for

Keywords

  • Artificial Intelligence
  • Large Language Models
  • Coronary Heart Disease (CHD)
04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Patients with confirmed or suspected coronary heart disease.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Age ≥ 18 years;
  • Patients with confirmed or suspected coronary heart disease;
  • Complete case information (including medical history, test results, imaging, follow-up records, etc.);
  • Consent for the use of case data for model evaluation and research analysis.

Exclusion criteria

Exclusion Criteria:

  • Cases with severe data gaps that prevent the formation of a complete clinical scenario;
  • Cases where the primary diagnosis is not coronary heart disease;
  • Cases with serious data errors or where data cannot be anonymized.
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
640 participants (estimated)
Patient registry
No

Groups and cohorts

  • CorAI development and evaluation cohort

    Adults aged 18 years or older with confirmed or suspected coronary artery disease presenting for routine outpatient or inpatient care at a participating center. Routinely generated clinical documentation is de-identified and used for construction of a multimodal CAD dataset and for development and evaluation of a disease-specific large language model. No study-specific intervention, testing, or follow-up is performed.

    Other: No Intervention: Observational Cohort

Interventions

  • OtherNo Intervention: Observational Cohort

    No Intervention: Observational Cohort

06

What researchers measure

Primary outcomes

  1. Completeness of the constructed multimodal CAD dataset

    Proportion of enrolled participants whose de-identified record satisfies all pre-specified data-completeness criteria, defined as the presence of medical history, comorbidity and medication documentation, laboratory results, electrocardiography, coronary CT angiography and/or invasive coronary angiography findings, and at least one structured follow-up or discharge record sufficient to reconstruct a complete clinical scenario. Reported as a percentage with 95% confidence interval.

    Time frame: From enrollment of the first participant through completion of dataset construction, up to 12 months

Secondary outcomes

  1. Guideline concordance of CorAI-generated clinical recommendations across eight predefined coronary artery disease scenarios

    Proportion of CorAI responses judged fully concordant with the coronary artery disease clinical practice guidelines in force at the time of adjudication, assessed on the held-out evaluation set across eight predefined clinical scenarios: (1) initial evaluation of chest pain; (2) coronary artery assessment; (3) antithrombotic therapy; (4) revascularization decision-making; (5) lipid-lowering therapy; (6) post-procedural management; (7) post-procedural complications; and (8) patient education and physician-patient communication. Each item is scored as concordant, partially concordant, or discordant by cardiologists blinded to response source using a pre-specified rubric, with disagreements resolved by an independent third adjudicator. The primary metric is the pooled percentage of items scored fully concordant across all eight scenarios, reported with a 95% confidence interval.

    Time frame: At completion of model development and evaluation, up to 18 months

07

Study locations

3 sites
08

References and documents

Individual participant data

Plan to share: Undecided — De-identified individual participant data underlying reported results may be made available on reasonable request to the corresponding author, subject to approval by the Ethics Committee of Fuwai Hospital and to compliance with applicable Chinese regulations governing the cross-border transfer of human genetic resources and health data. The study protocol and the pre-specified evaluation rubric will be made available alongside publication.

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Aug 2026; primary completion for Jan 2027, 4 months later.

Of 132 non-industry observational studies under Coronary Disease, half reached primary completion within 59 months of starting (the median), counting those still running; a quarter within 24 and three quarters within 192. This study's planned 4 months is below that.

Counting every sponsor, half of 154 studies reached it within 47 months; a quarter within 21 and three quarters within 123.

How these figures are worked out, and which studies are left out of them.

Registered
Aug 11, 2026
First posted
Aug 14, 2026
StartEst.
Aug 17, 2026
Primary completionEst.
Jan 1, 2027
CompletionEst.
Aug 31, 2027
Last update
Aug 14, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 14, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07766551
Responsible party
Sponsor
First posted
Aug 14, 2026
Start date
Aug 17, 2026 (estimated)
Primary completion
Jan 1, 2027 (estimated)
Completion
Aug 31, 2027 (estimated)
Last update
Aug 14, 2026

Study contacts

Prof. Gao
Contact
sophie_gao@sina.com
+861088322413

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Aug 2026. You cannot join it, but the record below documents what was studied.

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