Unveiling truth of Artificial Intelligence in Forensic Medicine and Education – better late than never

Authors

  • Shankar Bakkannavar Department of Forensic Medicine & Toxicology, Kasturba Medical College, Manipal
  • Utsav Parekh Department of Forensic Medicine & Toxicology, AIIMS, Rajkot
  • Sanjay Gupta Department of Forensic Medicine & Toxicology, AIIMS, Rajkot

DOI:

https://doi.org/10.48165/jfmt.2025.42.1.19

Keywords:

AI, biometric identification, forensic medicine, balancing act

Abstract

A revolutionary interconnection of technology and criminal investigation, artificial intelligence (AI) in forensic medicine improves a number of procedures in the field. [...] The implications of these technologies in legal processes are seriously called into question by ethical issues about algorithmic bias, privacy, and the validity of AI-generated evidence.

References

O'Sullivan S et al. Machine learning enhanced virtual autopsy. Autops Case Rep. 2017.

Thurzo A et al. Advanced artificial intelligence in forensic medicine. Healthcare (Basel). 2021.

Remaining citations truncated for brevity

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Published

2025-04-30

Issue

Vol. 42 No. 1 (2025): Journal of Forensic Medicine & Toxicology (Jan-Mar)

Section

Review Article

How to Cite

Unveiling truth of Artificial Intelligence in Forensic Medicine and Education – better late than never. (2025). Journal of Forensic Medicine & Toxicology, 42(1), 127-132. https://doi.org/10.48165/jfmt.2025.42.1.19