Musculoskeletal Imaging Open-Access Dataset v1.0

• Research type

  Research Database

• Full title

  An Open Access Multicentre Musculoskeletal (MSK) Imaging Database to Support the Development, Training, and Validation of Artificial Intelligence Models for Clinical and Research Applications.

• IRAS ID

  357277

• Contact name

  Daniel Perry

• Contact email

  danperry@liverpool.ac.uk

• Duration of Study in the UK

  5 years, 0 months, 1 days

• Research summary

  Musculoskeletal Imaging Open-Access Dataset

• REC name

  Yorkshire & The Humber - Leeds East Research Ethics Committee

• REC reference

  25/YH/0175

• Date of REC Opinion

  10 Sep 2025

• REC opinion

  Favourable Opinion

• Data collection arrangements

  Project Overview: The Open Access Musculoskeletal (MSK) Imaging Dataset project aims to create a research database in the form of a comprehensive catalogue of musculoskeletal imaging, acquired during routine clinical care.

  Data Type & Source:
  We will curate a collection of anonymised musculoskeletal imaging datasets collected through routine care at Alder
  Hey Children’s NHS Foundation Trust.
  These dataset will be drawn from the PACS system, and will be systematically categorised to encompass a wide range of musculoskeletal conditions and medical imaging modalities, including but not limited to:
  • Radiographs (X-rays)
  • Ultrasonography (USS)
  • Computerised Tomography (CT) scans
  • Magnetic Resonance Imaging (MRI) scans

  Datasets will undergo continuous review and expansion, with new scans added to increase their size and diversity. Each specific use case/ disease area, will be detailed as an appendix to this protocol.

  All imaging data will be fully anonymised and enhanced with expert annotations to ensure high-quality, clinically relevant information.

• Research programme

  This curated dataset will support academic research, and the development, training, and validation of computer vision models designed to assist in the diagnosis and prognostication of musculoskeletal injuries and diseases. By enabling advancements in AI-driven healthcare solutions, the project seeks to improve patient outcomes, support academic research, and drive commercial innovation within the musculoskeletal field.

• Research database title

  Musculoskeletal Imaging Open-Access Dataset

• Establishment organisation

  Alder Hey Children's NHS Foundation Trust

• Establishment organisation address

  Eaton Road

  Liverpool

  Merseyside

  L12 2AP