Improving ultrasound-guided nerve blocks with artificial intelligence
Accuracy Study of an AI-based, Real-time Anatomy Identification Tool for Use in Ultrasound-guided PENG (Pericapsular Nerve Block) and Suprainguinal Fascia Iliaca Blocks
This study is testing if using artificial intelligence can help doctors see nerves better during ultrasound-guided anesthesia to make the procedure safer for patients.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 150 (estimated) |
| Ages | 18 Years to 65 Years |
| Sex | All |
| Sponsor | Konya City Hospital Academic / other |
| Locations | 1 site (Konya, Meram) |
| Trial ID | NCT06283485 on ClinicalTrials.gov |
What this trial studies
This study aims to enhance the accuracy of ultrasound-guided regional anesthesia by integrating artificial intelligence to recognize anatomical structures in real-time. It consists of two phases: the first involves collecting sonoanatomical images from healthy volunteers to develop AI software, while the second phase will validate the effectiveness of this software in improving ultrasound visualization. The goal is to minimize complications during nerve block procedures and increase patient safety through better imaging techniques.
Who should consider this trial
Good fit: Ideal candidates for this study are healthy adults aged 18-65 who are willing to undergo ultrasound imaging.
Not a fit: Patients with comorbidities, those under 18 years of age, or individuals who are pregnant will not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly reduce complications associated with nerve block procedures and improve patient outcomes.
How similar studies have performed: While the integration of AI in ultrasound imaging is a growing field, this specific approach to nerve blocks is novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Agreeing to take ultrasound images * Healthy - No comorbidities * Adult individuals between the ages of 18-65 Exclusion Criteria: * Those who do not accept ultrasound images * Individuals under 18 years of age * with comorbidities * Pregnancy
Where this trial is running
Konya, Meram
- Yasin Tire — Konya, Meram, Turkey (Recruiting)
Study contacts
- Principal investigator: Yasin Tire — Konya City Hospital
- Study coordinator: Yasin Tire
- Email: dryasintire@hotmail.com
- Phone: +905055367970
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.