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Research on the Diagnostic Value of Dynamic Artificial Intelligence Ultrasound-Assisted Diagnosis System for Thyroid Nodules

Research on the Diagnostic Value of Dynamic Artificial Intelligence Ultrasound-Assisted Diagnosis System for Thyroid Nodules

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100690
Enrollment
Unknown
Registered
2025-04-14
Start date
2025-04-20
Completion date
Unknown
Last updated
2025-04-21

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

Conditions

Thyroid nodule

Interventions

Gold Standard:Pathological examination confirmed that the thyroid nodules were benign and malignant
Index test:Dynamic AI uses computer vision and deep learning technology to automatically identify lesions and locate nodules in real time, and establishes an AI assisted diagnosis model for benign and

Sponsors

Shanghai Sixth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age over 18 years old 2. Thyroid nodule diagnosed by preoperative physical examination or auxiliary examination with surgical indications. 3. Benign and malignant thyroid nodules were confirmed by postoperative pathological examination.

Exclusion criteria

Exclusion criteria: 1. Incomplete clinicopathological data or ultrasonic imaging data 2.Other types of malignant tumors.

Design outcomes

Primary

MeasureTime frame
Sensitivity of dynamic AI in diagnosis of benign and malignant thyroid nodules;Specificity of dynamic AI in diagnosis of benign and malignant thyroid nodules;Accuracy of dynamic AI in diagnosis of benign and malignant thyroid nodules;

Countries

China

Contacts

Public ContactXiaolei Yi

Shanghai Sixth People's Hospital

yixiaolei1982@163.com+86 189 3017 3492

Outcome results

None listed

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