Governance
AI Lifecycle in Health
Stages from research through validation, deployment, and monitoring.
Definition
The AI Lifecycle in Health describes the end-to-end process for health AI systems, spanning research and development, clinical validation, deployment, continuous monitoring, maintenance, and decommissioning, with governance obligations and accountability measures applicable at each stage.
Related Terms
AI lifecycle
Stages of AI from planning through decommissioning....
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Life cycle
The sequence of phases governing an AI system from design to decommissioning....
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Stages of AI development from data to monitoring....
AI system life cycle
Phased lifecycle from design to decommissioning for AI governance....