While CBCT imaging has revolutionized dental implant planning and evaluation, it still faces significant challenges from artifacts, particularly those caused by metal implants. This review explores the potential of artificial intelligence for artifact reduction and enhanced image quality, which, despite being in its early stages with limited evidence of clinical impact, aims to improve diagnostic accuracy, treatment planning and patient outcomes.