Synthetic imaging with generative AI for ultrasound-guided regional anesthesia
With the rise in prominence of artificial intelligence (AI) in ultrasound-guided regional anesthesia (UGRA),[1][1] we would like to highlight the prospect of synthetic imaging via generative artificial intelligence (GenAI) for UGRA. Such images are readily created by publicly accessible GenAI
Authors
- David W. Corpman (ORCID: https://orcid.org/0000-0001-5236-2925)
- Andrew T. Gray (ORCID: https://orcid.org/0000-0003-3337-1695)
- James Simeon Bowness (ORCID: https://orcid.org/0000-0002-8665-1984)
- David B. Auyong
Institutions
- University College Hospital (GB)
- Virginia Mason Medical Center (US)
- University College London Hospitals NHS Foundation Trust (GB)
- University of California, San Francisco (US)
- University of Washington (US)
Publication Details
- Journal
- Regional Anesthesia & Pain Medicine
- Published
- 2026-10-15
- DOI
- https://doi.org/10.1136/rapm-2026-108575
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00