Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications.
expert_opinion · Level V
Where this comes from
- Record sourced from PubMed, PMID 39962232.
- Also identified by DOI 10.1038/s41746-025-01506-4 and PMC identifier 11832725.
- Licence recorded as CC BY-NC-ND.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
With rapidly evolving artificial intelligence solutions, healthcare organizations need an implementation roadmap. A "clinical trials" informed approach can promote safe and impactful implementation of artificial intelligence. This framework includes four phases: (1) Safety; (2) Efficacy; (3) Effectiveness and comparison to an existing standard; and (4) Monitoring. Combined with inter-institutional collaboration and national funding support, this approach will advance safe, usable, effective, and equitable deployments of artificial intelligence in healthcare.