The integration of artificial intelligence into radiology practice represents more than a technological upgrade—it constitutes a fundamental reimagining of diagnostic workflows. This article examines critical protocols governing radiologist-AI collaboration, analyzing interaction models from autonomous AI triage to fully supervised human-in-the-loop systems.