James Bowness

University of St. Andrews

United Kingdom

Research Interests

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Articles (20)

Collaborators (14)

Karim Guessous

INSERM Délégation Régionale Rhône-Alpes

Xiaoxuan Liu

University Hospitals Birmingham NHS Foundation Trust

UNITED KINGDOM

Rajnish Gupta

UNITED STATES

R. J. Kearns

UNITED KINGDOM

Alexander Peter Landy Martindale

King's College Hospital NHS Foundation Trust

UNITED KINGDOM

Amit Pawa

Clinical Professor

Cleveland Clinic Lerner College of Medicine of Case Western Reserve University

UNITED STATES

Ourania Varsou

Lecturer in Anatomy

University of Glasgow

UNITED KINGDOM

Alison Noble

University of Oxford

UNITED KINGDOM

Nabil Elkassabany

University of Virginia

UNITED STATES

Pearse Keane

University College London

UNITED KINGDOM

Alan Macfarlane

University of Glasgow

UNITED KINGDOM

David Metcalfe

University of Oxford

UNITED KINGDOM

Helen Higham

Associate Professor

University of Oxford

UNITED KINGDOM

Kariem El-Boghdadly

King’s College London

UNITED KINGDOM

James Bowness

Research Interests

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Articles (20)

Guidance for reporting artificial intelligence technology evaluations for ultrasound scanning in regional anaesthesia (GRAITE‐USRA): an international multidisciplinary consensus reporting framework

Artificial intelligence-based nerve segmentation: standardised methodology needed for ultrasound-guided regional anaesthesia

Utility of AI-based nerve recognition (cNerve) in difficult-to-image patients

Development of an assessment tool for ultrasound‐guided regional anaesthesia image interpretation

Generative AI models: the next anaesthetic agent?

Artificial intelligence in healthcare: medical technology or technology medical?

Evaluation of AI-based nerve segmentation on ultrasound: relevance of standard metrics in the clinical setting

Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines

Leading in the development, standardised evaluation, and adoption of artificial intelligence in clinical practice: regional anaesthesia as an example

Variability between human experts and artificial intelligence in identification of anatomical structures by ultrasound in regional anaesthesia: a framework for evaluation of assistive artificial intelligence

Assistive artificial intelligence for enhanced patient access to ultrasound-guided regional anaesthesia

Applying artificial intelligence to the use of ultrasound as an educational tool: A focus on ultrasound‐guided regional anesthesia

Assistive artificial intelligence for ultrasound image interpretation in regional anaesthesia: an external validation study

Evaluation of the impact of assistive artificial intelligence on ultrasound scanning for regional anaesthesia

Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia

Recommendations for anatomical structures to identify on ultrasound for the performance of intermediate and advanced blocks in ultrasound-guided regional anesthesia

Identifying Anatomical Structures on Ultrasound: Assistive Artificial Intelligence in Ultrasound-Guided Regional Anesthesia.

International consensus on anatomical structures to identify on ultrasound for the performance of basic blocks in ultrasound-guided regional anesthesia

AI real-time color overlay of sonoanatomy

Artificial intelligence for image interpretation in ultrasound‐guided regional anaesthesia

Collaborators (14)

Karim Guessous

Xiaoxuan Liu

Rajnish Gupta

R. J. Kearns

Alexander Peter Landy Martindale

Amit Pawa

Ourania Varsou

Alison Noble

Nabil Elkassabany

Pearse Keane

Alan Macfarlane

David Metcalfe

Helen Higham

Kariem El-Boghdadly

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