Kitpatanasombat Intasin, Intasuwan Pittayarat, Mahakkanukrauh Pasuk
Program in Forensic Osteology and Odontology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Department of Anatomy, Faculty of Medicine and Research Cluster in Osteology Research and Training Center (ORTC), Chiang Mai University, Chiang Mai, 50200, Thailand.
Forensic Sci Med Pathol. 2025 Mar 29. doi: 10.1007/s12024-025-00987-9.
Biological profiling is a crucial tool in forensic science, allowing for evaluating biological information from bones found at crime scenes. This method includes assessments of sex, age, stature, and ancestry. Sex assessment is the first step in biological profiling, as it influences other assessments. Age estimation is a particularly challenging aspect. Combining sex and age assessment may improve accuracy in age estimation. Researchers often use the pelvis and skull bones for these assessments due to their prevalence at crime scenes and their higher accuracy in evaluation. However, the talus, a foot bone with robust density, resilience, and resistance to damage, is another bone frequently encountered at crime scenes and may be a valuable subject for study. Medical imaging technology, particularly micro-CT imaging, supports sex and age assessment. Micro-CT images can significantly enhance the accuracy of assessments. The high resolution of these images presents an exciting opportunity for exploration in conjunction with artificial intelligence (AI), which has revolutionized forensic science workflows. AI can potentially improve the efficiency and accuracy of sex and age assessment from bones. This article compiles research on past sex and age assessments and evaluations of the talus, including the application of micro-CT images to support these assessments. The aim is to provide a comprehensive knowledge base for studying sex and age assessment from the talus using micro-CT images in conjunction with AI.
生物特征分析是法医学中的一项关键工具，可用于评估从犯罪现场发现的骨骼中获取的生物信息。该方法包括对性别、年龄、身高和血统的评估。性别评估是生物特征分析的第一步，因为它会影响其他评估。年龄估计是一个特别具有挑战性的方面。结合性别和年龄评估可能会提高年龄估计的准确性。由于骨盆和颅骨在犯罪现场较为常见且评估准确性较高，研究人员通常使用它们进行这些评估。然而，距骨作为一种密度大、韧性强且抗损伤的足部骨骼，也是犯罪现场经常遇到的骨骼，可能是一个有价值的研究对象。医学成像技术，尤其是显微CT成像，有助于性别和年龄评估。显微CT图像可以显著提高评估的准确性。这些图像的高分辨率为结合人工智能（AI）进行探索提供了一个令人兴奋的机会，人工智能已经彻底改变了法医学工作流程。人工智能有可能提高从骨骼进行性别和年龄评估的效率和准确性。本文汇编了过去关于性别和年龄评估以及距骨评估的研究，包括应用显微CT图像来支持这些评估。目的是提供一个全面的知识库，用于研究结合人工智能使用显微CT图像从距骨进行性别和年龄评估。
