Application of artificial intelligence and machine learning technology for the prediction of postmortem interval: A systematic review of preclinical and clinical studies.

Journal: Forensic science international
Published Date: Nov 1, 2022

Abstract

BACKGROUND /PURPOSE: Establishing an accurate postmortem interval (PMI) is exceptionally crucial in forensic investigation. Artificial intelligence (AI) and Machine learning (ML) models are widely employed in forensic practice. ML is a part of AI, both terms are highly associated and sometimes used interchangeably. This systematic review aims to evaluate the application and performance of AI technology for the prediction of PMI.

Authors

  • Rishi Sharma
    Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences (AIIMS) Rishikesh, Uttarakhand, India. Electronic address: sharmarishi1991@yahoo.com.
  • Diksha
    Department of Microbiology, All India Institute of Medical Sciences (AIIMS) Rishikesh, Uttarakhand, India.
  • Ashish Ramesh Bhute
    Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences (AIIMS) Rishikesh, Uttarakhand, India.
  • Binaya Kumar Bastia
    Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences (AIIMS) Rishikesh, Uttarakhand, India.

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