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Clinical Trial Summary

The goal of this prospective observational study is to develop and utilize an Artificial Intelligence (AI) model for the prediction of postoperative sepsis in patients undergoing abdominal surgery. The main questions it aims to answer are: 1. Can a remote AI-driven monitoring system accurately predict sepsis risk in postoperative patients? 2. How effectively can this system integrate and analyze multimodal data for early sepsis detection in the surgical ward? Participants are equipped with non-invasive PPG-based wearable devices to continuously monitor vital signs and collect high-quality clinical data. This data, along with demographic and laboratory information from the Electronic Health Record (EHR) of the hospital, are used for AI model development and validation.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT06238180
Study type Observational
Source Aisthesis Medical P.C.
Contact Eleni Arnaoutoglou, MD, PhD
Phone 00302413502952
Email earnaout@med.uth.gr
Status Recruiting
Phase
Start date November 29, 2023
Completion date March 31, 2024

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