AI is Blurring Lines Between Technology Development and Clinical Practice in Radiology
Katie Palmer
Summary
Radiology practices are increasingly adopting artificial intelligence by developing and deploying AI systems in-house, positioning themselves as 'AI-native' organizations. This trend represents a significant shift in how medical imaging is being interpreted and managed, with practices taking direct control of AI technology rather than relying solely on third-party vendors. The integration of AI in radiology aims to improve diagnostic accuracy, efficiency, and patient outcomes. However, this development raises important questions about regulatory oversight, clinical validation, and the balance between technological innovation and patient safety standards.
