Artificial Intelligence for Anatomical Structure Identification on Ultrasound in Regional Anaesthesia: A Scoping Review Protocol

Abstract

BACKGROUND Ultrasound is the most common form of guidance for regional anaesthesia. There is increasing interest in developing supporting technology, particularly in the form of artificial intelligence (AI), to aid in the acquisition and interpretation of optimal ultrasound views for these procedures. However, this is a broad field, with academia, clinical practice, and industry all providing disparate contributions. We will undertake a scoping review of publicly-available data, to assess methods of evaluation for accuracy and utility of such systems. METHODS We will perform searches in multiple databases, including ACM Digital Library, CINAHL, EMBASE, IEEE Explore, and OVID MEDLINE. We will search the International Committee of Medical Journal Editors approved clinical trial registries and the World Health Organisation clinical trials registry for studies registered in this field. Grey literature will be searched through the online library of doctoral theses (http://ethos.bl.uk/Home.do), regulatory authority registries and competent authority websites of North America and the UK, the websites of international learned societies in regional anaesthesia, and material from commercial organisations with products in the field. The primary goal is to summarise the approaches used to evaluate accuracy and utility of these devices. A secondary goal is to assess the standardisation of reporting in this field, with particular reference to whether reporting guidelines have been followed. DISCUSSION To the best of our knowledge, this is the first scoping review of this type. Synthesis of the available evidence will enable us to make recommendations on a standardised evaluation framework, which can be used for future devices, to allow robust and relevant evaluation which can be compared to similar evaluations of other devices.

Competing Interest Statement

JSB is a Senior Clinical Advisor for Intelligent Ultrasound, receiving research funding and honoraria. JAN is a Senior Scientific Advisor for Intelligent Ultrasound.

Funding Statement

This study did not receive any funding

Author Declarations

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

Yes

I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.

Yes

I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

Yes

I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.

Yes

Data Availability

No data is available in this manuscript (review protocol only)

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