Journal article
Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia.
- Abstract:
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Introduction Ultrasound-guided regional anesthesia (UGRA) involves the acquisition and interpretation of ultrasound images to delineate sonoanatomy. This study explores the utility of a novel artificial intelligence (AI) device designed to assist in this task (ScanNav Anatomy Peripheral Nerve Block; ScanNav), which applies a color overlay on real-time ultrasound to highlight key anatomical structures.
Methods Thirty anesthesiologists, 15 non-experts and 15 experts in UGRA, performed 240 ultrasound scans across nine peripheral nerve block regions. Half were performed with ScanNav. After scanning each block region, participants completed a questionnaire on the utility of the device in relation to training, teaching, and clinical practice in ultrasound scanning for UGRA. Ultrasound and color overlay output were recorded from scans performed with ScanNav. Experts present during the scans (real-time experts) were asked to assess potential for increased risk associated with use of the device (eg, needle trauma to safety structures). This was compared with experts who viewed the AI scans remotely.
Results Non-experts were more likely to provide positive and less likely to provide negative feedback than experts (p=0.001). Positive feedback was provided most frequently by non-experts on the potential role for training (37/60, 61.7%); for experts, it was for its utility in teaching (30/60, 50%). Real-time and remote experts reported a potentially increased risk in 12/254 (4.7%) vs 8/254 (3.1%, p=0.362) scans, respectively.
Discussion ScanNav shows potential to support non-experts in training and clinical practice, and experts in teaching UGRA. Such technology may aid the uptake and generalizability of UGRA.
Trial registration number NCT04918693.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 714.0KB, Terms of use)
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- Publisher copy:
- 10.1136/rapm-2021-103368
Authors
- Publisher:
- BMJ Publishing Group
- Journal:
- Regional Anesthesia and Pain Medicin More from this journal
- Volume:
- 47
- Issue:
- 6
- Pages:
- 375-379
- Publication date:
- 2022-01-28
- Acceptance date:
- 2022-01-10
- DOI:
- EISSN:
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1532-8651
- ISSN:
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1098-7339
- Pmid:
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35091395
- Language:
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English
- Keywords:
- Pubs id:
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1237610
- Local pid:
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pubs:1237610
- Deposit date:
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2022-08-05
Terms of use
- Copyright holder:
- American Society of Regional Anesthesia and Pain Medicine
- Copyright date:
- 2022
- Rights statement:
- ©2022 American Society of Regional Anesthesia and Pain Medicine. Re-use permitted under CC BY-NC. No commercial re-use. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, an indication of whether changes were made, and the use is non-commercial.
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