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Research on AI Model of Ventilator Decision Support System

Research on the Construction of Artificial Intelligence Model for Ventilator Decision Support System

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2400091312
Enrollment
Unknown
Registered
2024-10-25
Start date
2024-11-01
Completion date
Unknown
Last updated
2024-10-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ventilator support

Interventions

AI group:AI recommends parameter settings for ventilators

Sponsors

Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicin
Lead Sponsor

Eligibility

Sex/Gender
All
Age
6 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1.Patients using invasive ventilators. 2.The patient's ventilator settings need to be adjusted. 3.The patient's family members sign an informed consent form, allowing the use of collected ventilator parameter data for scientific research.

Exclusion criteria

Exclusion criteria: 1. The ventilator used by the patient cannot collect data; 2. The patient's ventilator parameter settings do not need to be adjusted; 3. The combination of ECMO and other treatment methods that can affect the settings of the ventilator in patients; 4. The patient has severe underlying lung diseases such as pulmonary fibrosis and interstitial pneumonia.

Design outcomes

Primary

MeasureTime frame
SpO2;—

Secondary

MeasureTime frame
respiratory rate;PaCO2;Control pressure/support pressure;tidal volume;—

Countries

China

Contacts

Public ContactXuemin Wang

Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine

wangxm100@hotmail.com+86 189 1828 5282

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026