Deep Learning Models for Prediction of Intraoperative Hypotension Using Non-invasive Parameters

NCT05762237 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 5175

Last updated 2025-03-30

No results posted yet for this study

Summary

The investigators aimed to investigate the deep learning model to predict intraoperative hypotension using non-invasive monitoring parameters.

Conditions

  • Intraoperative Hypotension
  • General Anesthesia

Sponsors & Collaborators

  • Samsung Medical Center

    lead OTHER

Principal Investigators

  • Hyun Joo Ahn, MD, PhD · Samsung Medical Center

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-04-01
Primary Completion
2024-05-01
Completion
2024-05-01

Countries

  • South Korea

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 NCT05762237 on ClinicalTrials.gov