Vendors’ perspectives on AI implementation in medical imaging and oncology: a cross-sectional survey
Question AI vendors' perspectives on unmet needs, challenges, and opportunities for AI adoption in medical imaging are largely underrepresented in recent research. Findings Provision of consistent funding, optimised infrastructure, and user acceptance were highlighted by vendors as key enablers of AI implementation. Clinical relevance Vendors' input and collaboration with clinical practitioners are necessary to clinically implement AI. This study highlights real-world challenges that AI vendors face and opportunities they value during AI implementation. Keeping the dialogue channels open is key to these collaborations.
Authors
- Christina Malamateniou (ORCID: https://orcid.org/0000-0002-2352-8575)
- Susan Cheng Shelmerdine (ORCID: https://orcid.org/0000-0001-6642-9967)
- S. Edgington
- Kicky G. van Leeuwen (ORCID: https://orcid.org/0000-0002-8902-5161)
- Nikolaos Stogiannos (ORCID: https://orcid.org/0000-0003-1378-6631)
- Emily Skelton (ORCID: https://orcid.org/0000-0003-0132-7948)
Institutions
- St George's, University of London (GB)
- King's College London (GB)
- Great Ormond Street Hospital (GB)
- Great Ormond Street Hospital for Children NHS Foundation Trust (GB)
- Dutch Health Care Inspectorate (NL)
- European Society of Radiology (AT)
- Netherlands Heart Registration (NL)
- Axa (United Kingdom) (GB)
- Niki (Greece) (GR)
- University College London (GB)
- EU Business School, Geneva (CH)
Publication Details
- Journal
- European Radiology
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1007/s00330-025-12013-1
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31