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A medical records based study for the diagnosis and prognosis prediction AI model of novel coronavirus pneumonia (COVID-19)

The Diagnosis and prognosis prediction of novel coronavirus pneumonia (COVID-19) based on AI and Radiomics

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000030992
Enrollment
Unknown
Registered
2020-03-20
Start date
2020-03-10
Completion date
Unknown
Last updated
2020-03-23

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

Conditions

Novel Coronavirus Pneumonia (COVID-19)

Interventions

Gold Standard:Clinical outcomes
Index test:the&#32
diagnosis&#32
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model

Sponsors

Changzheng Hospital, Naval Military Medical University, Shanghai
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: (1) To include confirmed, suspected and clinically diagnosed cases according to the fifth edition of the diagnosis and treatment guidelines for COVID-19 issued by the national health and construction commission; (2) Among the patients included in the general outpatient and emergency department, CT findings suggested cases of viral pneumonia.

Exclusion criteria

Exclusion criteria: 1) Patients with severe respiratory movement artifacts 2) Children, pregnant women and lactating women;

Design outcomes

Primary

MeasureTime frame
SEN, SPE, ACC, AUC of ROC;

Contacts

Public ContactFan Li

Department of Respiratory Medicine, Changzheng Hospital, Naval Military Medical University

fanli0930@163.com+86 13564684699

Outcome results

None listed

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