Search / Trial NCT06617403

Pre-operative Characteristics for Prediction of Supraglottic Airway Failure Using Machine Learning (ERICA)

Launched by UNIVERSITY HOSPITAL ULM · Sep 25, 2024

Trial Information

Current as of October 08, 2024

Unknown status

Keywords

"Neural Networks, Computer Artificial Intelligence"[Mesh] "Laryngeal Masks"[Mesh] "Treatment Failure"[Mesh] "Treatment Outcome"[Mesh] "Risk Factors"[Mesh]

Description

An intraoperative change of procedure not only leads to time delays but also time delays, but also involves measures that are stressful for the patient, such as deepening the anaesthesia and manipulating the airway again. Therefore, the objective of ERICA is to develop a machine learning algorithm based on preoperative information 1) that can accurately predict the risk of an unplanned SGA conversion and 2) identifies characteristics leading to conversion from SGA to tracheal tube. I. Developing the model • The final dataset will be split in a training, testing, and validation cohort. Fi...

Gender

ALL

Eligibility criteria

  • Inclusion Criteria:
  • * Adult patients (≥18 years) receiving general anaesthesia for non-cardiac surgery with a supraglottic airway device
  • Exclusion Criteria:
  • * None

About University Hospital Ulm

University Hospital Ulm is a leading academic medical center dedicated to advancing healthcare through innovative research and clinical excellence. Affiliated with the University of Ulm in Germany, the hospital integrates cutting-edge medical education, pioneering research initiatives, and comprehensive patient care. With a strong emphasis on interdisciplinary collaboration, University Hospital Ulm actively participates in clinical trials aimed at developing new therapeutic strategies and improving patient outcomes. Its commitment to ethical standards and rigorous scientific methodology positions it as a trusted sponsor in the realm of clinical research.

Locations

Munich, Bavaria, Germany

Ulm, Baden Württemberg, Germany

People applied

Timeline

First submit

Trial launched

Trial updated

Estimated completion

Not reported

Discussion 0