The Prospects of Multimodal Artificial Intelligence Identification in Forensic Pathology
Traditional forensic pathological identification has primarily relied on methods such as on-site inspections,case analysis,autopsies,and histopathological examinations,all of which highly depend on the personal experience and subjective judgement of the examiners.After centuries of practice,this mode of identification has been the cornerstone of the forensic pathology.However,with the rapid advancement of artificial intelligence(AI)technologies,particularly the emergence of generative AI technologies,the application of AI in forensic pathology has evolved from analyzing single-modal data to processing multimodal data.This paper aims to delve into multimodal AI technologies and their data integration strategies in forensic pathological identification,especially the potential application scenarios and developmental prospects in forensic pathological identification.Additionally,this paper discusses the challenges and ethical issues that might arise with the implementation of multimodal AI technologies in forensic pathological identification practice and offers insights on how to overcome these obstacles.
万方数据
维普
