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Development of warning system with clinical differential diagnosis and prediction for severe type of novel coronavirus pneumonia (COVID-19) patients based on artificial intelligence and CT images

Development of warning system with clinical differential diagnosis and prediction for severe type of SARS-Cov-2 patients based on artificial intelligence and CT images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000030838
Enrollment
Unknown
Registered
2020-03-15
Start date
2020-01-20
Completion date
Unknown
Last updated
2020-03-16

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:RT-PCR test results
Index test:Typing&#32
and&#32
prediction&#32
accuracy&#32
of&#32
artificial&#32
intelligence&#32
models

Sponsors

Zhongnan Hospital of Wuhan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: (1) Patients diagnosed with COVID-19 infection; the diagnostic criteria are as follows: SARS-COV-2 nucleic acid RT-PCR test results of respiratory specimens are positive; (2) There are CT image examination data and manifestations of viral pneumonia; (3) There are clinical laboratory examination data and follow-up data.

Exclusion criteria

Exclusion criteria: (1) CT result is negative; (2) Incomplete clinical data.

Design outcomes

Primary

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

Countries

China

Contacts

Public ContactXu Haibo

Wuhan University Central South Hospital

xuhaibo1120@hotmail.com+86 13545009416

Outcome results

None listed

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