Congress:
ECR24
Poster Number:
C-10913
Type:
EPOS Radiologist (scientific)
Authorblock:
J. H. R. Cairns, B. Riley, H. Ismail, B. Al-Qaisieh, M. Siddique, C. Herbert, B. Wheller, F. U-H. Chowdhury, A. Scarsbrook; Leeds/UK
Disclosures:
James Henry Robert Cairns:
Nothing to disclose
Beverley Riley:
Nothing to disclose
Hanif Ismail:
Nothing to disclose
Bashar Al-Qaisieh:
Nothing to disclose
Mohua Siddique:
Nothing to disclose
Christopher Herbert:
Nothing to disclose
Bob Wheller:
Nothing to disclose
Fahmid Ul-Haque Chowdhury:
Nothing to disclose
Andrew Scarsbrook:
Nothing to disclose
Keywords:
Artificial Intelligence, Computer applications, Management, CT, Nuclear medicine conventional, Plain radiographic studies, Cost-effectiveness, Health policy and practice, Technology assessment, Quality assurance
AI is an area of intense imaging research activity and commercial development which is not yet in routine clinical use in most settings. Establishment of an institutional AI Board with a linked PPIE group and creation of an XNAT virtual PACS ‘sandbox’ environment has helped to guide safe and effective AI implementation in radiology at LTHT. These measures have laid the groundwork for ongoing innovation, industry partnerships, and continuous improvement in patient outcomes and service delivery. The AI board will be instrumental in the future delivery of services driven by artificial intelligence at our institution.