Enhancing Forensic Autopsy with Computational Models: A Technological Approach to Cause of Death Determination
Keywords:
Forensic autopsy, computational models, machine learning, artificial intelligence, digital imaging, virtual autopsy, cause of death determination, forensic pathology, predictive models, data integration.Abstract
Forensic autopsy is a cornerstone of forensic pathology, serving as a critical tool for determining cause of death, especially in cases of suspicious or unexplained deaths. Traditionally, forensic autopsies have relied on the physical examination of the body, histopathological analysis, and toxicology testing. However, the advancement of technology has led to the incorporation of computational models into forensic practices. This paper explores the potential of enhancing forensic autopsies through computational approaches such as machine learning, artificial intelligence (AI), and digital imaging techniques, aiming to improve the accuracy, efficiency, and scope of death investigations. The integration of these technologies presents both opportunities and challenges, including ethical considerations, data privacy, and the need for multidisciplinary collaboration. The paper also highlights current trends and discusses future directions in the evolution of forensic autopsy.
