Exploring the Efficacy of Assistive Artificial Intelligence for Ultrasound Guided Regional Anesthesia in Residency Training

The purpose of this study is to investigate the efficacy of a novel artificial intelligence (AI) device designed to assist in Ultrasound guided regional anesthesia (ScanNav Anatomy Peripheral Nerve Block; ScanNav), in the teaching and training of anesthesiology residents in the subspecialty of regional anesthesia.

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Key information

Conditions

Regional Anesthesia

Sex eligibility

All sexes

Study type

Observational

Primary location

Medical College of Wisconsin

Milwaukee, Wisconsin, 53226, United States

About this study

Ultrasound-guided regional anesthesia (UGRA) relies on the precise acquisition and interpretation of ultrasound images. The necessary skills to attain this is dependent on the knowledge of the underlying anatomy. Notwithstanding, even experienced anesthesiologists can find this challenging, especially in the setting of anatomical variation, obesity and other potential confounders. This study aims to clarify if The ScanNav, a novel artificial intelligence device designed to assist in UGRA, when utilized with trainees, improves their uptake and training. We also aim to see the relationships of how it enhances teaching and training of residents by experienced regional anesthesia providers.

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Inclusion criteria include any anesthesia resident with no prior experience with UGRA.

Exclusion criteria

Exclusion criteria include any anesthesia resident who has undergone the regional elective service prior to the inception of the study.

Treatment and study plan

The ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesia

Device

The ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesia.We also aim to see of how it enhances teaching and training of residents by experienced regional anesthesia providers. We intend to use surveys/questionnaires of both resident and regional anesthesia provider as they utilize the device in real time.

Primary outcomes

Qualtric questionaire of participants

Time frame: From enrollment to the end of device use at 2 weeks.

Improved teaching and training of anesthesiology residents in the subspecialty of regional anesthesia will be accessed via a questionnaire filled out by participants after use of the device. The questionnaire will access, the type of regional blocks, feasibility of block and ease of teaching with the artificial intelligence Ultrasound.

Interested in participating?

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Sponsors and collaborators

Lead sponsor

Medical College of Wisconsin

Other

Registry information

Important dates

Study start: 2025
Primary completion: 2026
Study completion: 2026
First posted: Oct 31, 2024
Registry last updated: Mar 3, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Completed