Postdeployment Monitoring and Surveillance Methods, Guidelines, and Possibilities for AI in Radiology
Radiology is increasingly adopting AI systems, and to ensure their safety after the systems go live, postdeployment monitoring is essential as part of the total product life cycle framework.
Authors
- Gerald Lip (ORCID: https://orcid.org/0000-0002-7867-5468)
- Rohit Takhar
- Felipe Kitamura (ORCID: https://orcid.org/0000-0002-9992-5630)
- Vasantha Kumar Venugopal (ORCID: https://orcid.org/0000-0003-1357-6941)
- Charlene Liew (ORCID: https://orcid.org/0000-0002-6403-4539)
- Suyash Anil Khubchandani (ORCID: https://orcid.org/0009-0001-8203-7274)
Institutions
- Apollo Hospitals (IN)
- Grant Medical College and Sir Jamshedjee Jeejeebhoy Group of Hospitals (IN)
- University of Aberdeen (GB)
- Chettinad Academy of Research and Education (IN)
- Changi General Hospital (SG)
- Rajiv Gandhi Cancer Institute and Research Centre (IN)
- NHS Grampian (GB)
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR)
- Universidade Federal de São Paulo (BR)
Publication Details
- Journal
- Radiographics
- Published
- 2026-06-25
- DOI
- https://doi.org/10.1148/rg.250173
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 6.18