Exploring the Efficacy of Assistive Artificial Intelligence for Ultrasound Guided Regional Anesthesia in Residency Training
概览
- 阶段
- 不适用
- 干预措施
- The ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesia
- 疾病 / 适应症
- Regional Anesthesia
- 发起方
- Medical College of Wisconsin
- 入组人数
- 20
- 试验地点
- 1
- 主要终点
- Qualtric questionaire of participants
- 状态
- 已完成
- 最后更新
- 2个月前
概览
简要总结
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.
详细描述
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.
研究者
Christopher Fadumiye
MD
Medical College of Wisconsin
入排标准
入选标准
- •Inclusion criteria include any anesthesia resident with no prior experience with UGRA.
排除标准
- •Exclusion criteria include any anesthesia resident who has undergone the regional elective service prior to the inception of the study.
研究组 & 干预措施
The study will recruit the entire CA1 resident class (n=20)
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.
干预措施: The ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesia
结局指标
主要结局
Qualtric questionaire of participants
时间窗: 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.