Scenario: A healthcare management system is adopting AI-powered recommendation systems for treatment suggestions. What strategies can be employed in functional testing to verify the accuracy and relevance of these recommendations?

In functional testing for AI-powered recommendation systems, conducting A/B testing with AI and non-AI recommendations helps assess the accuracy and relevance of the suggestions. Comparing AI-generated recommendations with expert opinions ensures alignment with medical expertise. Employing exploratory testing is essential to uncover any unanticipated issues or anomalies. Additionally, validating system responses for different patient profiles ensures that the AI recommendations cater to a diverse range of healthcare scenarios.