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

Medical College of Wisconsin

Status: Invitation-only

Conditions: Regional Anesthesia

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

Study type: Observational

Funder types: Other

Identifiers

NCT06667401

PRO00052792

Details and patient eligibility

About

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.

Full description

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.

Enrollment: 20 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

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.

Trial design

20 participants in 1 patient group

The study will recruit the entire CA1 resident class (n=20)

Description:

The study will recruit the entire CA1-2 resident class (n=20-30) who have no prior experience with Ultrasound guided regional anesthesia (UGRA) at the Medical College of Wisconsin/Froedtert Hospital. Inclusion criteria include having no prior experience with UGRA. Exclusion criteria include having undergone the regional elective service prior to the inception of the study (CA-2/3 class). No intervention of interest is noted, the cohort will be accessed based on use of the artificial intelligent Ultrasound.

Treatment:

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