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Development of a Reinforcement Learning Model Based on Imaging Data to Assist in More Accurate Guidance of Transseptal Puncture.

Development of a Reinforcement Learning-Based AI Model for Imaging-Guided Assistance in Transseptal Puncture

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500112410
Enrollment
Unknown
Registered
2025-11-13
Start date
2025-06-23
Completion date
Unknown
Last updated
2025-11-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Transseptal Puncture

Interventions

Observation groups of various diseases undergoing left atrial operation:None

Sponsors

Jiangsu Province Hospital (The First Affiliated Hospital with Nanjing Medical University)
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Male or non-pregnant and non-lactating women aged 18 to 80 years old; 2. Various diseases for which left atrial manipulation is scheduled, such as symptomatic atrial fibrillation, atrial flutter, atrial tachycardia, atrioventricular reentrapment tachycardia, left atrial appendage occlusion, etc.

Exclusion criteria

Exclusion criteria: 1.Patients with an expected lifespan of less than 2 years due to non-cardiovascular factors; 2. Previous history of heart transplantation; 3. Patients with complex congenital heart disease; 4. Those whose CS electrodes cannot be implanted; 5. Those with severe liver and kidney dysfunction; 6. Left atrial appendage thrombosis.

Design outcomes

Primary

MeasureTime frame
ICE-confirmed positioning of the transseptal puncture needle within the fossa ovalis;

Secondary

MeasureTime frame
The relative position of the puncture needle within the fossa ovalis;

Countries

China

Contacts

Public ContactWeizhu Ju

Jiangsu Province Hospital (The First Affiliated Hospital with Nanjing Medical University)

juweizhu@126.com+86 25 6830 3115

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026