Artificial Intelligence for Ultrasound-Guided Peripheral Ner... | Clinical Trial | StuddyBuddy@endsection Artificial Intelligence for Ultrasound-Guided Peripheral Nerve and Plane Blocks
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Completed NCT05718414

Artificial Intelligence for Ultrasound-Guided Peripheral Nerve and Plane Blocks

Conditions: Complication Following Peripheral Nerve Block (Diagnosis)

Sex: All
Ages: 18 Years – N/A
Healthy volunteers: 1
Enrollment: 40
Sponsor: Gazi University

Location: Turkey

Summary

The goal of this observational study is to test the accuracy of an artificial intelligence tool used for identifying ultrasound-guided block regions in healthy volunteer participants. The main question aims to answer is:• Is the artificial intelligence tool effective for identifying selected ultrasound-guided nerve block regions and their anatomical landmarks?Three anesthesiology trainees perform ultrasound scanning for 8 nerve block regions on participants. Peripheral nerve and plane block regions are;Adductor canal block regionAxillary brachial plexus block regionESP (erector spinae plane) block regionFemoral block regionPECS (pectoral) block regionPopliteal block regionRectus sheath block regionSuperficial cervical plexus block region

Eligibility Criteria

Inclusion Criteria:Volunteers over the age 18Exclusion Criteria:anatomical deformity in the selected regionspsychiatric or neurological diseases that would impair understanding of the consent forminability to lie flat

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View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT05718414). StuddyBuddy aggregates publicly available trial information.