Artificial intelligence (AI) has emerged as a transformative technology in modern orthodontics, redefining conventional diagnostic and therapeutic workflows through digital integration and predictive analytics. The incorporation of machine learning, deep learning, convolutional neural networks, and computer vision into orthodontic practice has significantly improved the accuracy of cephalometric landmark identification, malocclusion classification, treatment simulation, aligner therapy planning, and remote patient monitoring. Digital orthodontics, supported by intraoral scanners, cone-beam computed tomography (CBCT), three-dimensional imaging, and cloud-based systems, has created a robust data-driven ecosystem that facilitates AI-assisted clinical decision-making. AI-based software systems are increasingly capable of reducing operator variability, minimizing human error, and improving clinical efficiency while enabling personalized orthodontic care. Furthermore, teleorthodontics and AI-enabled remote monitoring systems have expanded patient accessibility and compliance tracking. Despite these advancements, important concerns remain regarding algorithm transparency, ethical considerations, data privacy, medico-legal accountability, and clinician dependency on automated systems. Current evidence suggests that AI should function as an adjunctive clinical tool rather than a replacement for professional judgment. The present review comprehensively discusses the evolution, applications, advantages, limitations, ethical implications, and future prospects of artificial intelligence in digital orthodontics. The article highlights the growing role of AI in precision orthodontics and emphasizes the need for standardized validation and responsible clinical integration.