Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37618
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: Commercialization of medical artificial intelligence technologies: challenges and opportunities
Author(s): Li, Ben
Powell, Dylan
Lee, Regent
Contact Email: dylan.powell@stir.ac.uk
Issue Date: 18-Nov-2025
Date Deposited: 28-Nov-2025
Citation: Li B, Powell D & Lee R (2025) Commercialization of medical artificial intelligence technologies: challenges and opportunities. <i>npj Digital Medicine</i>, 8, Art. No.: 454. https://doi.org/10.1038/s41746-025-01867-w
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.
DOI Link: 10.1038/s41746-025-01867-w
Rights: This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

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