Surgical Science UK Ltd.

The aim of this study is to determine if machine learning can be used to automatically highlight key anatomy on the ultrasound image to help anaesthetists perform ultrasound-guided regional anaesthesia.

This mutlicentre study at three hospitals in south Wales, UK, will be used to determine if modern machine learning techniques can help the anaesthetist locate the target by highlighting key anatomical features on the ultrasound image in real time.
The study consists of two phases:
The objective of Phase I is to train a computer-aided system to identify target structures in regional anaesthesia when applied in the following categories:
* Adductor canal
* Popliteal
* Fascia Iliaca
* Rectus sheath
* Axillary The objective of Phase II is to estimate the success rate and safety of the computer system being developed.

The aim of this study is to determine if machine learning can be used to automatically highlight key anatomy on the ultrasound image to help anaesthetists perform ultrasound-guided regional anaesthesia.