To thrive in an AI Radiology role, you need a strong background in medical imaging, data science, and machine learning, typically backed by a degree in radiology, computer science, or a related field. Proficiency with PACS systems, deep learning frameworks (such as TensorFlow or PyTorch), and regulatory compliance (like HIPAA) is essential. Excellent analytical thinking, collaboration, and communication skills allow you to work effectively in cross-functional teams with radiologists and IT professionals. These competencies are vital for developing, deploying, and optimizing AI solutions that enhance diagnostic accuracy and workflow efficiency in medical imaging.