The integration of artificial intelligence (AI) into forensic odontology is transforming traditional practices, offering novel solutions to enhance precision, efficiency, and objectivity in dental evidence analysis. This lecture examines the potential of AI-driven technologies, such as machine learning algorithms and computer vision systems, in automating key processes like dental age estimation, bite mark analysis, and identification of human remains. By leveraging large datasets, AI tools can improve the reliability of forensic interpretations and reduce the time required for expert assessments. However, challenges such as data standardization, ethical concerns, and the need for cross-disciplinary collaboration remain significant barriers to full-scale implementation. The findings suggest that AI holds transformative potential, paving the way for more robust and scientifically sound methodologies in forensic dental science.
