Commercialization of medical artificial intelligence technologies: challenges and opportunities
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 nurs...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01867-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849761130195451904 |
|---|---|
| author | Ben Li Dylan Powell Regent Lee |
| author_facet | Ben Li Dylan Powell Regent Lee |
| author_sort | Ben Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c7ca16c19ad843faabf07bc8cb5a3cf7 |
| institution | DOAJ |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-c7ca16c19ad843faabf07bc8cb5a3cf72025-08-20T03:06:08ZengNature Portfolionpj Digital Medicine2398-63522025-07-01811410.1038/s41746-025-01867-wCommercialization of medical artificial intelligence technologies: challenges and opportunitiesBen Li0Dylan Powell1Regent Lee2Division of Vascular Surgery, University of TorontoFaculty of Health Sciences & Sport, University of StirlingNuffield Department of Surgical Sciences, University of OxfordArtificial 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.https://doi.org/10.1038/s41746-025-01867-w |
| spellingShingle | Ben Li Dylan Powell Regent Lee Commercialization of medical artificial intelligence technologies: challenges and opportunities npj Digital Medicine |
| title | Commercialization of medical artificial intelligence technologies: challenges and opportunities |
| title_full | Commercialization of medical artificial intelligence technologies: challenges and opportunities |
| title_fullStr | Commercialization of medical artificial intelligence technologies: challenges and opportunities |
| title_full_unstemmed | Commercialization of medical artificial intelligence technologies: challenges and opportunities |
| title_short | Commercialization of medical artificial intelligence technologies: challenges and opportunities |
| title_sort | commercialization of medical artificial intelligence technologies challenges and opportunities |
| url | https://doi.org/10.1038/s41746-025-01867-w |
| work_keys_str_mv | AT benli commercializationofmedicalartificialintelligencetechnologieschallengesandopportunities AT dylanpowell commercializationofmedicalartificialintelligencetechnologieschallengesandopportunities AT regentlee commercializationofmedicalartificialintelligencetechnologieschallengesandopportunities |