Since the development of artificial intelligence (AI), its applications are innumerable. Craniofacial surgery revolves around complex anatomy, developmental anomalies, and the need for nuanced, patient-specific interventions. This requires precise preoperative assessment and sophisticated surgical planning, which have already been aided by imaging modalities. These steps are now significantly enhanced by AI and deep learning at every stage of care from diagnosis to treatment plans, to clinical outcomes.