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Research on Ultrasound Intelligence Assisted by Basic Large Models and Deep Learning

Research on Ultrasound Intelligence Assisted by Basic Large Models and Deep Learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115371
Enrollment
Unknown
Registered
2025-12-25
Start date
2026-01-01
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Common diseases of multiple organs

Interventions

Gold Standard:Pathological or clinical diagnosis
Index test:Sensitivity, specificity, accuracy

Sponsors

The First Affiliated Hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1.Age >= 18 years old, gender not limited; 2.Accept routine clinical ultrasound examination and be able to provide complete clinical and imaging information; 3.Voluntarily participate and sign an informed consent form; 4.Can cooperate to complete follow-up and research processes.

Exclusion criteria

Exclusion criteria: 1.Patients with severe lack of clinical data or inadequate image quality to meet analysis requirements; 2.Patients with severe systemic diseases who are unable to cooperate with follow-up; 3.Individuals with mental or cognitive impairments who are unable to understand or agree; 4.Refuse to use artificial intelligence to assist in diagnosis or explicitly request to withdraw from the study.

Design outcomes

Primary

MeasureTime frame
Accuracy;Sensitivity;

Secondary

MeasureTime frame
Specificity;

Countries

China

Contacts

Public ContactChen Lida

The First Affiliated Hospital of Sun Yat-sen University

chenlda@mail.sysu.edu.cn+86 20 8776 5183

Outcome results

None listed

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