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Atrial Fibrillation Recurrence Prediction

NCT06977516 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2508

Last updated 2026-03-12

No results posted yet for this study

Summary

We aimed to develop an dual-branch deep learning network that integrates feature representations extracted from medical texts using large language models, with structured data features derived from perioperative records of AF ablation patients. This integrated approach provides novel clinical insights into risk prognosis and enhances strategies for post-procedural management in AF ablation.

Conditions

  • Atrial Fibrillation Recurrence

Sponsors & Collaborators

  • Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University

    collaborator OTHER

  • The Affiliated Hospital of Yunnan University

    collaborator UNKNOWN

  • Jinhua People's Hospital

    collaborator OTHER

  • Beilun District People's Hospital

    collaborator UNKNOWN

  • The Fourth Affiliated Hospital of Zhejiang University School of Medicine

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-04-15
Primary Completion
2025-06-30
Completion
2025-08-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06977516 on ClinicalTrials.gov