Creating artificial intelligence solutions to enable the early detection and prevention of adverse events associated with mechanical ventilation - Wesley Research Institute
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This exciting project is the first step to developing artificial intelligence (AI) solutions that will analyse data from mechanical ventilators with the aim of detecting and alerting for signs of patient complications.  

Research Objectives

Status

Current

Recruitment

Closed

Study location

St Andrew's War Memorial Hospital

Study type

Investigator Initiated

Lead investigator

  • Dr James Winearls

Experienced investigator

  • Professor John Fraser

About this research project

Many patients admitted to intensive care units (ICU) require breathing support from a mechanical ventilator. The ventilator pushes oxygen in and out of the lung. This results in a waveform, which changes moment to moment if the flow changes, it’s like a “fingerprint” and certain conditions have a pathological “fingerprint”. Early detection of these abnormalities allows clinicians to detect problems and proactively intervene as appropriate, potentially preventing complications and improving patient outcomes. Unfortunately, these changes are commonly missed in hospital environments.  

This project will detect these changes automatically, through the development of artificial intelligence (AI) solutions to analyse the data from mechanical ventilators, enabling them to detect early signs of patient deterioration. This would alert the clinician, enabling them to provide proactive interventions to manage or prevent the complication from occurring, improving patient recovery and outcomes. This will be the first step in the creation of a smart ICU. 

 

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