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Application of Multimodal Large Language Model in HFpEF

NCT06486649 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 80

Last updated 2024-07-03

No results posted yet for this study

Summary

This study will validate the effectiveness of a multimodal large language model to screen for heart failure with preserved ejection fraction (HFpEF), comparing it with the traditional clinical standardized assessment process.

Conditions

Interventions

DIAGNOSTIC_TEST

Multimodal Large Language Model Diagnosis

Diagnosis for heart failure with preserved ejection fraction (HFpEF) using the multimodal large language model MedGuide-72B.

DIAGNOSTIC_TEST

Routine diagnostic and therapeutic procedure

Routine diagnostic and therapeutic procedure

Sponsors & Collaborators

  • Tianjin Medical University General Hospital

    collaborator OTHER

  • The First Hospital of Hebei Medical University

    collaborator OTHER

  • Qianfoshan Hospital

    collaborator OTHER

  • Qingdao Municipal Hospital

    collaborator OTHER

  • Peking University Third Hospital

    lead OTHER

Eligibility

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

Timeline & Regulatory

Start
2023-12-20
Primary Completion
2024-12-20
Completion
2024-12-20

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

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 NCT06486649 on ClinicalTrials.gov