RecruitingNCT06486649
Application of Multimodal Large Language Model in HFpEF
Application of a Multimodal Large Language Model to Assist Diagnosis for Heart Failure With Preserved Ejection Fraction
Sponsor
Peking University Third Hospital
Enrollment
80 participants
Start Date
Dec 20, 2023
Study Type
OBSERVATIONAL
Conditions
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.
Eligibility
Min Age: 18 YearsMax Age: 80 Years
Inclusion Criteria4
- Age 18-80 years, male or female;
- Cardiology inpatients with suspected heart failure with preserved ejection fraction (cardiac ultrasound suggestive of LVEF ≥50% with at least 1 of the following: 1, left ventricular hypertrophy and/or left atrial enlargement; and 2, abnormal diastolic cardiac function);
- Current or previous at least one symptom of heart failure, including dyspnea (including exertional dyspnea, nocturnal paroxysmal dyspnea, and telangiectasia), malaise, nausea, and bilateral lower extremity edema;
- Voluntary participation and signed informed consent.
Exclusion Criteria7
- Acute heart failure or acute worsening of chronic heart failure;
- Severe coronary stenosis (≥75% stenosis) without revascularization;
- Patients who are unable to perform exercise stress echocardiography or have contraindications to the test;
- are participating in other clinical trials;
- Those with severe organic pathologies of the liver, kidney, or hematologic system or those with chronic diseases;
- Those who are unable to follow the trial procedures;
- Those who refuse to sign the informed consent.
Interventions
DIAGNOSTIC_TESTMultimodal Large Language Model Diagnosis
Diagnosis for heart failure with preserved ejection fraction (HFpEF) using the multimodal large language model MedGuide-72B.
DIAGNOSTIC_TESTRoutine diagnostic and therapeutic procedure
Routine diagnostic and therapeutic procedure
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06486649
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