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A multicenter study of artificial intelligence screening for chest community-acquired diseases such as pneumonia based on Knowledge graph

A multicenter study of artificial intelligence screening for chest community-acquired diseases such as pneumonia based on Knowledge graph

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000035498
Enrollment
Unknown
Registered
2020-08-13
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-08-17

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

Conditions

community-acquired diseases such as pneumonia

Interventions

Case series:Nil

Sponsors

Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: The patients with chest radiograph record were admitted to hospital, the examination items were chest radiograph, the examination method or technique was positive, aged >=18 years old, the sex was not limited, there was complete chest radiograph report record.

Exclusion criteria

Exclusion criteria: The examination item is bedside chest film, the examination method or technique is supine front and back position chest film, the poor quality affects the diagnosis image, the chest film diagnosis report is incomplete.

Design outcomes

Primary

MeasureTime frame
community-acquired diseases such as pneumonia;Precision, Recall, Accuracy, AUC, F1 score;

Countries

China

Contacts

Public ContactYaping Zhang

Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine

zhangyaping.ok@163.com+86 13818063197

Outcome results

None listed

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