Clinical Utility of an Artificial Intelligence–Assisted Brachial Plexus Tracking System in Regional Anesthesia

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

CRIS

Registry ID

KCT0011808

Enrollment

Registered

2026-04-03

Start date

2026-04-07

Completion date

Unknown

Last updated

2026-04-14

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

Conditions

None listed

Interventions

Procedure/Surgery : Ultrasound scanning procedure (each condition will be performed for approximately 5 minutes): - In each pair, one participant will act as the operator and the other as the standard

no needle insertion or local anesthetic injection will be conducted. - Intervention group 1 will first scan both sides of the neck using conventional ultrasound, whereas intervention group 2 will perf

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: - Anesthesiology and Pain Medicine residents (PGY 1–4) at Chungnam National University Hospital - Individuals who voluntarily provide written informed consent after receiving a full explanation of the study purpose and methods - Individuals who are willing to participate in ultrasound scanning training of the brachial plexus

Exclusion criteria

Exclusion criteria: Exclusion Criteria for the Standardized Patient Role Participants will be excluded from serving as standardized patients if any of the following conditions apply. However, participation as an operator may still be considered separately: - History of surgery involving the neck, supraclavicular, or scapular region resulting in anatomical alterations - Presence of moderate to severe cervical spine disease or significant neck/shoulder pain - Pregnancy - Severe obesity (BMI = 35), or anticipated excessive fatigue or discomfort during ultrasound scanning as judged by the investigator - Any other medical condition deemed inappropriate by the investigator

Design outcomes

Primary

Measure	Time frame
Score for successful identification of brachial plexus components	—

Secondary

Measure	Time frame
Satisfaction with AI-assisted versus non-AI-assisted scanning;perceived usefulness of the AI-assisted system for identifying individual components of the brachial plexus	—

Countries

Korea, Republic of

Contacts

Public ContactBoohwi Hong

Chungnam National University Hospital

koho0127@gmail.com+82-42-280-7840

Outcome results