Fouad, Shereen https://orcid.org/0000-0002-3612-0130
Usman, Muhammad
Kabir, Ra’eesa
Rajasekaran, Arvind
Morlese, John
Nagori, Pankaj
Bhatia, Bahadar
Funding for this research was provided by:
Aston University (21230-08)
Article History
Received: 5 October 2024
Revised: 7 January 2025
Accepted: 6 February 2025
First Online: 26 February 2025
Declarations
:
: In this study, the dataset was collected in 2020 at the Sandwell and West Birmingham National Health System Trust (SWBNHST) hospitals in the UK. This study was performed in line with the principles of the Declaration of Helsinki. The study was reviewed and approved by the ethics committee at Aston University (No. EPS21006 and 234700-51). All procedures were conducted in compliance with relevant guidelines and regulations.
: No recruitment of human participants took place in this project. This project consists of processing of data already being routinely collected and archived. Data subjects are adult non-vulnerable patients at Sandwell & West Birmingham NHS Trust. It is fully anonymised so that individuals cannot be identified by anyone without access to the identifiable data in the hospital systems. The format of hospital data is DICOM imaging data and HL7 electronic patient records storage on hospital information systems. Access to anonymised data via the Aston University server was protected and restricted to authorised users.
: No recruitment of human participants took place in this project. The participating site is Sandwell & West Birmingham NHS Trust and this artificial intelligence (AI) research project will use public interest task to manage the data for improving clinical management of patients. The legal basis for processing is GDPR Article 6(1)(e) and Article 9(2)(j).
: The authors declare no competing interests.