An observational study in Deep Learning, Artificial Intelegence and ARDS (Acute Respiratory Distress Syndrome), sponsored by Bakirkoy Dr. Sadi Konuk Research and Training Hospital. Completed at 1 site in Turkey. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2024-12-30.
Sponsored by Bakirkoy Dr. Sadi Konuk Research and Training Hospital · Observational
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.
The aim of this study is to develop an artificial intelligence and deep learning-supported scoring system using ventilator parameters obtained during the mechanical ventilation process in patients diagnosed with ARDS. This system seeks to predict and optimize the weaning process, facilitating successful liberation from mechanical ventilation.
In this context, our study will analyze data from 25,000 patients obtained from the Metavision system. From this data pool, ARDS patients will be filtered and divided into two groups: those successfully weaned from mechanical ventilation (weaned) and those who were not (non-weaned). The ventilator parameters of both groups, including oxygenation indices, driving pressure, and total mechanical power, will be examined in detail.
The collected data will be analyzed using artificial intelligence and deep learning algorithms to develop a scoring system capable of predicting patients' weaning processes. This system is designed to guide clinicians in patient management and enhance the success of weaning procedures.
The results of this study aim to contribute to more efficient and safer management of the weaning process for ARDS patients. Furthermore, the implementation of AI-supported scoring systems in intensive care units is expected to promote widespread adoption and improve the quality of patient care.
1,597 studies on the registry are indexed under Respiratory Distress Syndrome; 312 are open to participants now.
This study's enrollment of 25,000 is above the median of 100 across 540 observational studies indexed under Respiratory Distress Syndrome.
Browse Respiratory Distress Syndrome studies →Bakirkoy Dr. Sadi Konuk Research and Training Hospital is the lead sponsor of 118 studies on the registry; 14 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Intubated patients which diagnosed with ARDS and followed up in the ICU for more than 48 hours.
Exclusion Criteria:
Those successfully weaned from mechanical ventilation
Those who not weaned from mechanical ventilation
Successful Weaning
The primary outcome of this study will be the successful weaning from mechanical ventilation.
Time frame: 48 hours
Mechanical Ventilatory Parameters
Determining the impact of mechanical power on patient outcomes.
Time frame: 48 hours
Plan to share: No
No publications or documents are linked to this record.
This study is completed, as verified in Dec 2024. You cannot join it, but the record below documents what was studied.
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Bakirkoy Dr. Sadi Konuk Research and Training Hospital