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Development of a Scoring and Prediction Model for Weaning Success in ARDS Patients Using Ventilation Parameters Combined with Artificial Intelligence and Deep Learning Techniques

NCT06751693 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 25000

Last updated 2024-12-30

No results posted yet for this study

Summary

This study aims to develop an AI-supported scoring model to optimize the weaning processes of ARDS patients from mechanical ventilation. Retrospective analysis will be conducted on the data of 25,000 patients, focusing on ventilator parameters and hemodynamic variables. The model will be designed to contribute to clinical decision support systems.

Conditions

  • Deep Learning
  • Artificial Intelegence
  • ARDS (Acute Respiratory Distress Syndrome)

Sponsors & Collaborators

  • Bakirkoy Dr. Sadi Konuk Research and Training Hospital

    lead OTHER_GOV

Principal Investigators

  • Zafer Cukurova, M.D · Bakırkoy Dr. Sadi Konuk Training and Research Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-12-10
Primary Completion
2024-12-24
Completion
2024-12-24

Countries

  • Turkey (Türkiye)

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 NCT06751693 on ClinicalTrials.gov