ArticleBritish journal of anaesthesia2023
Closing the gap: artificial intelligence applied to ultrasound-guided regional anaesthesia.
Article in British journal of anaesthesia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Facilitators of and barriers to non-regional anesthesia fellowship-trained anesthesiologists performing ultrasound-guided regional anesthesia: a qualitative study using the Theoretical Domains Framework.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2026Article
- Deep Learning-Based Tracking of Neurovascular Features Toward Semi-Automated Ultrasound-Guided Peripheral Nerve Blocks by Non-Specialists.Bioengineering (Basel, Switzerland) · 2026Article
- Artificial intelligence in ultrasound-guided regional anesthesia: bridging the gap between potential and practice: a narrative review.Anesthesia and pain medicine · 2025Review
- Review
- Thoracic segmental spinal anaesthesia: expanding applications while keeping it safe.British journal of anaesthesia · 2025Article
- Regional anaesthesia training in the UK - a national survey.BJA open · 2023Article
- Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The role of artificial intelligence in ultrasound-guided regional anaesthesia is explored in a recent study by Bowness and colleagues, published in the British Journal of Anaesthesia. The investigators showed that non-expert ability to identify key sono-anatomical structures was improved with the assistance of proprietary artificial intelligence software. Whether such software could increase learning efficiency, and thereby patient access, to regional anaesthesia, will require further study.
Indexed as
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.