用人工智能组织形态测量法估算锁骨内侧的年龄:综述。

IF 1.5 4区 医学 Q1 LAW
Medicine, Science and the Law Pub Date : 2024-10-01 Epub Date: 2024-08-07 DOI:10.1177/00258024241270779
Kewalee Pichetpan, Phruksachat Singsuwan, Pasuk Mahakkanukrauh
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引用次数: 0

摘要

本综述研究对年龄估算方法的演变情况进行了批判性评估,尤其侧重于将组织形态计量学和人工智能(AI)创新性地整合到锁骨内侧的分析中。锁骨内侧是预测年龄的重要骨骼特征,为了解个体整个生命周期中发生的形态变化提供了宝贵的信息。本综述通过深入探讨组织学的复杂性,包括骨质、骨小梁结构和皮质厚度的变化,阐明了它们作为年龄相关评估指标的实用性。人工智能技术可实现自动图片识别、特征提取和复杂的模式分析,从而增强了这一框架。我们对以往研究的回顾强调了人工智能在改进细微年龄估计预测模型方面的前景,同时强调了大规模、多样化数据集和全面交叉验证的重要性。这项全面的研究解决了伦理问题以及特定人群特征的影响,推动了有关年龄估计的讨论,为法医人类学、临床诊断和未来的研究途径提供了真知灼见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Age estimation using medial clavicle by histomorphometry method with artificial intelligence: A review.

This review research critically assesses the evolving landscape of age estimation methodologies, with a particular focus on the innovative integration of histomorphometry and artificial intelligence (AI) in the analysis of the medial clavicle. The medial clavicle emerges as a crucial skeletal feature for predicting age, offering valuable insights into the morphological changes occurring throughout an individual's lifespan. Through an in-depth exploration of histological complexities, including variations in osteons, trabecular structures, and cortical thickness, this review elucidates their utility as viable indicators for age-related evaluations. This framework is augmented by the incorporation of AI technology, which enables automatic picture identification, feature extraction, and complicated pattern analysis. Our review of previous research highlights the promise of AI in improving prediction models for nuanced age estimates, highlighting the importance of large-scale, diversified datasets and thorough cross-validation. This thorough study, which addresses ethical concerns as well as the influence of population-specific characteristics, moves the debate around age estimate ahead, presenting insights with consequences for forensic anthropology, clinical diagnoses, and future research avenues.

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来源期刊
Medicine, Science and the Law
Medicine, Science and the Law 医学-医学:法
CiteScore
2.90
自引率
6.70%
发文量
53
审稿时长
>12 weeks
期刊介绍: Medicine, Science and the Law is the official journal of the British Academy for Forensic Sciences (BAFS). It is a peer reviewed journal dedicated to advancing the knowledge of forensic science and medicine. The journal aims to inform its readers from a broad perspective and demonstrate the interrelated nature and scope of the forensic disciplines. Through a variety of authoritative research articles submitted from across the globe, it covers a range of topical medico-legal issues. The journal keeps its readers informed of developments and trends through reporting, discussing and debating current issues of importance in forensic practice.
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