Artificial Intelligence for Forensic Medicine

Abstract

Artificial intelligence (AI) is expanding into all aspects of daily work for identifying and predicting criminals, suspects, business, health, space, agriculture, and judiciary works. Consequently, applying AI to forensic medicine has grown the interest of researchers in the recent past. This paper explores the utility of AI in the fields of Clinical Forensic Medicine and forensic pathology. Different applications use AI to address a variety of challenges presently experienced by forensic scientists. The AI-trained algorithms generate reports that assist forensic reasoning by presenting reliable information and compelling legal proof after analysing a large amount of raw data. Therefore, accuracy and reliability are primary concerns in such systems. The adaption of AI in forensic medicine is challenging for various reasons, such as training requirements for medical practitioners, biases due to ethnicity and limitation of the dataset, and validation of the developed algorithm. This paper discusses the above challenges in detail and presents algorithms which perform well for different forensic applications.

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