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AI reads heart scans to predict which children will develop serious complications

NCT ID NCT07662343

Knowledge-focused Sponsor: Xinhua Hospital, Shanghai Jiao Tong University School of Medicine Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing This study
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study explores whether artificial intelligence can predict which children with a type of heart hole (perimembranous ventricular septal defect) will later develop complications like valve problems or blockages. Researchers will analyze past echocardiogram reports and medical records from over 11,000 children across six hospitals in China. The goal is to build a computer model that uses natural language processing to extract clues from written descriptions, potentially offering an early warning system for at-risk children.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this AI model could help doctors identify children at risk of heart complications earlier, potentially guiding timely interventions.
What could go wrong
This is an observational study using past data, so the model may not work perfectly in new patients or hospitals. It is not a treatment and does not directly change patient care.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 11,683 people

The number the study aims to enrol. It can still change while the study runs.

Started

Jan 2004

Expected to finish

Jul 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Pediatric patients with perimembranous ventricular septal defect evaluated at six tertiary referral centers between 2004 and 2022.

Ages

0 to 14 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Children aged 14 years or younger at the time of presentation/diagnosis; * Confirmed diagnosis of perimembranous ventricular septal defect (PMVSD), or PMVSD accompanied by minor cardiac anomalies that do not alter the hemodynamic status of the VSD, including small patent foramen ovale, atrial septal defect, patent ductus arteriosus, or persistent left superior vena cava; * Availability of at least two consecutive follow-up records, with consistency between the electronic echocardiography reports and the Hospital Information System data. Exclusion Criteria: * Age older than 14 years at diagnosis; * Presence of complex congenital heart disease; * Patients lost to follow-up due to inability to establish contact, resulting in an indeterminate clinical outcome.

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Conditions

The condition(s) this trial relates to.

congenital heart disease ventricular septal defect

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Congenital heart disease (CHD) Ventricular septal defects (VSD)

Contacts and locations

Locations

  • Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine

    Shanghai, Shanghai Municipality, 200092, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.