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Artificial Intelligence-Based Disease Management in the Vulnerable Period of Heart Failure

NCT05544006 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 76

Last updated 2022-12-01

No results posted yet for this study

Summary

The study aims to evaluate the effect of AI-based discharge training after acute decompensation of heart failure on the patient's quality of life and to examine the relationship between changes in voice and speech characteristics of patients and changes in hospitalization, discharge, and early post-discharge clinical status.

Conditions

Sponsors & Collaborators

  • Dokuz Eylul University

    collaborator OTHER

  • Albert Saglik Hizmetleri ve Ticaret A.S.

    lead INDUSTRY

Eligibility

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

Timeline & Regulatory

Start
2022-10-26
Primary Completion
2023-03-30
Completion
2023-04-02

Countries

  • Turkey (Türkiye)

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 NCT05544006 on ClinicalTrials.gov