Fang Y T, Lan Q, Xie T, Liu Y F, Mei S Y, Zhu B F
School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.
Research Center of Shaanxi Province for Craniofacial Precision Medicine, College of Stomatology, Xi'an Jiaotong University, Shaanxi 710049, China.
Fa Yi Xue Za Zhi. 2020 Feb;36(1):77-85. doi: 10.12116/j.issn.1004-5619.2020.01.016.
Traditional forensic identification relies on forensic experts to manually extract information and provide identification opinions based on medicine, biology and other fields of knowledge combined with personal work experience, which is not only time-consuming and require great effort, but also affected by subjective factors that are difficult to overcome. In the era of big data, the booming development of artificial intelligence brings new ideas to forensic medicine. In recent years, forensic researchers at home and abroad have conducted many studies based on artificial intelligence technology, such as face recognition, age and gender identification, DNA analysis, postmortem interval estimation, injury and cause of death identification, showing the feasibility and advantages of using artificial intelligence technology to solve forensic identification problems. As a new means of technology that has adapted to the development of the times, artificial intelligence has brought new vitality to forensic medicine, but at the same time also some new challenges. How to deal with these challenges scientifically and form a new mode of 'artificial intelligence plus forensic medicine' with artificial intelligence and forensic medicine developing collaboratively is a new direction for the development of forensic medicine in the era of big data.
传统的法医鉴定依靠法医专家手动提取信息,并基于医学、生物学等领域的知识结合个人工作经验提供鉴定意见,这不仅耗时费力,还受到难以克服的主观因素影响。在大数据时代,人工智能的蓬勃发展给法医学带来了新的思路。近年来,国内外的法医研究人员基于人工智能技术开展了许多研究,如人脸识别、年龄和性别鉴定、DNA分析、死亡时间推断、损伤和死因鉴定等,展示了利用人工智能技术解决法医鉴定问题的可行性和优势。作为适应时代发展的一种新技术手段,人工智能给法医学带来了新的活力,但同时也带来了一些新的挑战。如何科学应对这些挑战,形成人工智能与法医学协同发展的“人工智能+法医学”新模式,是大数据时代法医学发展的新方向。