Assessing & Deploying AI in Medicine: A 5-Point Guide

Integrating AI responsibly in healthcare? This 5-point framework helps assess, deploy, & monitor AI models effectively:

1. Pre-deployment: Clearly define the clinical need, validate technically, consider ethics & regulations, plan workflow integration.

2. Deployment: Implement in phases, train users, document transparently.

3. Monitoring: Track performance, data quality, & adverse events.

4. Feedback & Improvement: Gather user feedback, use data to refine the model.

5. Governance & Oversight: Establish a clear governance framework, regularly review and update.

By following these steps, healthcare professionals can ensure the responsible and effective use of AI models to improve patient care.