The advent of artificial intelligence (AI) has significantly transformed various medical specialties, including orthodontics. This review explores the principles of AI, its applications in orthodontics, and its implementation in clinical practice. AI has shown promising results in enhancing the accuracy of diagnoses, treatment planning, and predicting treatment outcomes. The literature review focuses on AI applications in dental diagnostics, cephalometric evaluation, skeletal age determination, temporomandibular joint (TMJ) evaluation, decision-making, and patient telemonitoring. Despite high efficacy in these areas, variations in performance and the need for manual supervision suggest caution in clinical settings. The complexity and unpredictability of AI algorithms call for cautious implementation and regular manual validation. Continuous AI learning, proper governance, and addressing privacy and ethical concerns are crucial for successful integration into orthodontic practice.The advent of artificial intelligence (AI) has significantly transformed various medical specialties, including orthodontics. This review explores the principles of AI, its applications in orthodontics, and its implementation in clinical practice. AI has shown promising results in enhancing the accuracy of diagnoses, treatment planning, and predicting treatment outcomes. The literature review focuses on AI applications in dental diagnostics, cephalometric evaluation, skeletal age determination, temporomandibular joint (TMJ) evaluation, decision-making, and patient telemonitoring. Despite high efficacy in these areas, variations in performance and the need for manual supervision suggest caution in clinical settings. The complexity and unpredictability of AI algorithms call for cautious implementation and regular manual validation. Continuous AI learning, proper governance, and addressing privacy and ethical concerns are crucial for successful integration into orthodontic practice.