
Radiology societies call for critical evaluation of AI, building the UK’s quantum workforce
Physics World Weekly Podcast
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Navigating AI in Radiology
This chapter focuses on the essential considerations for developers creating AI tools in radiology, underscoring the need for thorough evaluation and ongoing performance monitoring post-deployment. It discusses the importance of governance, transparency, and acceptance testing to ensure that AI models integrate smoothly into clinical workflows. The chapter also addresses the current and future roles of AI in radiology, highlighting its potential to augment rather than replace radiologists in a resource-constrained environment.
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