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Journal article

Commercialization of medical artificial intelligence guided vascular imaging technologies: challenges and opportunities

Abstract:

Artificial intelligence (AI) is already having a significant impact on healthcare. For example, AI-guided imaging can improve the diagnosis/treatment of vascular diseases, which affect over 200 million people globally. Recently, Chiu and colleagues (2024) developed an AI algorithm that supports nurses with no ultrasound training in diagnosing abdominal aortic aneurysms (AAA) with similar accuracy as ultrasound-trained physicians. This technology can therefore improve AAA screening; however, achieving clinical impact with new AI technologies requires careful consideration of commercialization strategies, including funding, compliance with safety and regulatory frameworks, health technology assessment, regulatory approval, reimbursement, and clinical guideline integration.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41746-025-01867-w

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Surgical Sciences
Role:
Author


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Funder identifier:
https://ror.org/001aqnf71
Grant:
MR/V025775/1


Publisher:
Springer Nature
Journal:
npj Digital Medicine More from this journal
Volume:
8
Issue:
1
Article number:
454
Publication date:
2025-07-18
Acceptance date:
2025-07-05
DOI:
EISSN:
2398-6352


Language:
English
Pubs id:
2243301
Local pid:
pubs:2243301
Deposit date:
2025-07-13
ARK identifier:

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