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Research on development and application of artificial intelligence assisted ultrasound diagnosis system for liver, spleen and kidney trauma

Research on development and application of artificial intelligence assisted ultrasound diagnosis system for liver, spleen and kidney trauma

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000039795
Enrollment
Unknown
Registered
2020-11-10
Start date
2020-11-01
Completion date
Unknown
Last updated
2021-02-16

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

Conditions

Liver, Spleen, Kidney trauma

Interventions

Gold Standard:the surgical result
artificial&#32
intelligence&#32

Sponsors

Department of Ultrasound, The First Medical Center of Chinese PLA General Hospital, Beijing
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: (1) Gray-scale ultrasound with a clear history of trauma has suggested the need to further determine the degree of trauma in liver, spleen and kidney trauma (2) Gray-scale ultrasonography found abdominal or retroperitoneal effusion, but it was not clear whether there was visceral trauma; (3) There was no definite history of trauma, but spontaneous rupture of liver, spleen and kidney was suspected clinically; (4) Clinical suspicion of iatrogenic bleeding due to liver, spleen and kidney injury.

Exclusion criteria

Exclusion criteria: (1) Patients with hemodynamic instability; (2) Patients with severe cardiopulmonary insufficiency.

Design outcomes

Primary

MeasureTime frame
Diagnostic accuracy of artificial intelligence;Diagnostic sensitivity of artificial intelligence;

Countries

China

Contacts

Public ContactYukun Luo

Department of Ultrasound, The First Medical Center of Chinese PLA General Hospital

lyk301@163.com+86 13311373556

Outcome results

None listed

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