Abstract

The integration of artificial intelligence (AI) into implantology is advancing clinical practices by improving diagnostic precision, treatment planning, and prosthetic workflows. AI-supported software facilitates comprehensive analysis of radiographic and CBCT data, enabling accurate anatomical landmark identification, virtual implant positioning, and prosthetic design. These technologies enhance efficiency, reduce human error, and provide personalized treatment strategies tailored to individual patient needs.

Applications of AI in daily practice include automated segmentation of imaging data, dynamic jaw tracking, and predictive modeling for implant success and complication management. Additionally, AI streamlines prosthetic design processes, offering superior accuracy in occlusion, fit, and aesthetics. Despite its transformative potential, challenges such as data security, algorithmic bias, and ethical concerns necessitate ongoing research and collaboration to ensure its responsible implementation.

This lecture will give an insight about AI’s growing role in implantology which signifies a paradigm shift towards precision, efficiency, and patient-centered care in routine clinical practice.