This systematic review and meta-analysis explores the integration of artificial intelligence (AI) technologies into forensic odontology from an intelligent systems perspective, with particular emphasis on enhancing identification accuracy, pattern recognition capabilities, and workflow efficiency. Traditional dental identification methods rely heavily on manual comparison of charts and radiographs, which are time-consuming and susceptible to human bias. Recent advancements in machine learning algorithms, deep learning-based image recognition networks, and intelligent decision-support systems have demonstrated significant potential in automating critical tasks such as bite-mark analysis, dent... More >