■人工智能(AI)是计算机机器显示人类能力的能力,例如推理,学习,规划,和创造力。这种处理技术接收的数据(已经准备或收集),处理它们,使用模型和算法,并回答有关预测和决策的问题。人工智能系统还能够通过分析以前行为的影响来适应自己的行为,然后自主工作。人工智能已经出现在我们的生活中,即使它经常被忽视(联网购物,家庭自动化,车辆)。即使在医疗领域,人工智能可用于分析大量医疗数据,发现匹配和模式,以改善诊断和预防。在法医学中,人工智能的应用越来越多,越来越有价值。
■进行了系统评价,选择最广泛使用的电子数据库之一(PubMed)中的文章。这项研究是使用关键词“AI取证”和“机器学习取证”进行的。研究过程包括从1990年至今发表的约2000篇文章。
■我们专注于最常见的使用领域,然后确定和分析了6个宏观主题。具体来说,文章分析了人工智能在法医病理学中的应用(主要领域),毒理学,放射学,个人身份,法医人类学,和法医精神病学.
■该研究的目的是评估AI在法医学中每个使用领域的当前应用,试图掌握未来和更多可用的应用程序,并强调它们的局限性。
UNASSIGNED: Artificial intelligence (AI) is the ability of a computer machine to display human capabilities such as reasoning, learning, planning, and creativity. Such processing technology receives the data (already prepared or collected), processes them, using models and algorithms, and answers questions about forecasting and decision-making. AI systems are also able to adapt their behavior by analyzing the effects of previous actions and working then autonomously. Artificial intelligence is already present in our lives, even if it often goes unnoticed (shopping networked, home automation, vehicles). Even in the medical field, artificial intelligence can be used to analyze large amounts of medical data and discover matches and patterns to improve diagnosis and prevention. In forensic medicine, the applications of AI are numerous and are becoming more and more valuable.
UNASSIGNED: A systematic
review was conducted, selecting the articles in one of the most widely used electronic databases (PubMed). The research was conducted using the keywords \"AI forensic\" and \"machine learning forensic\". The research process included about 2000 Articles published from 1990 to the present.
UNASSIGNED: We have focused on the most common fields of use and have been then 6 macro-topics were identified and analyzed. Specifically, articles were analyzed concerning the application of AI in forensic pathology (main area), toxicology, radiology, Personal identification, forensic anthropology, and forensic psychiatry.
UNASSIGNED: The aim of the study is to evaluate the current applications of AI in forensic medicine for each field of use, trying to grasp future and more usable applications and underline their limitations.