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Artificial intelligence using deep neural network learning for interpretation of plexus lumbalis in ultrasound images

A prospective observational clinical study on the development of precise guidance, localization, and warning systems for nerve block

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400083161
Enrollment
Unknown
Registered
2024-04-17
Start date
2024-04-18
Completion date
Unknown
Last updated
2025-05-05

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

Conditions

None

Interventions

Case series:None

Sponsors

Renmin Hospital of Wuhan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Age >= 18 years old, no gender limitation; Patients who plan to undergo elective surgery.

Exclusion criteria

Exclusion criteria: Patients who cannot cooperate in lateral decubitus position; Patients with severe allergies to anesthetic drugs; Those who are pregnant or lactating; Those who have participated in other clinical trials in the past 3 months ; Patients with contraindications to nerve block.

Design outcomes

Primary

MeasureTime frame
DICE;IOU;

Secondary

MeasureTime frame
Demographic characteristics;Target structure recognition time;Sensitivity;Specifity;

Countries

China

Contacts

Public ContactZhongyuan Xia

Renmin Hospital of Wuhan University

xiazhongyuan2005@aliyun.com+86 138 0862 8560

Outcome results

None listed

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