Literature DB >> 30468046

Current Research and Prospects on Postmortem Interval Estimation.

Q Wang1,2, H C Lin2, J R Xu3, P Huang4, Z Y Wang2.   

Abstract

The researches on postmortem interval (PMI) estimation are very important and meaningful in forensic science. PMI estimation is also an important issue that must be solved in practice of forensic pathology. There are many defects existing in traditional methods for PMI estimation, so it is imperative to introduce new pathways. With the emergence of various new technologies, the researches on PMI estimation have a tendency from simple to complex with a growth of data. The present review firstly summarizes a series of methods used for PMI estimation, and then gives an outlook for the application of artificial intelligence algorithms in this field. Copyright© by the Editorial Department of Journal of Forensic Medicine.

Keywords:  artificial intelligence; big data; forensic pathology; postmortem interval; review

Mesh:

Year:  2018        PMID: 30468046     DOI: 10.12116/j.issn.1004-5619.2018.05.002

Source DB:  PubMed          Journal:  Fa Yi Xue Za Zhi        ISSN: 1004-5619


  2 in total

1.  The Potential of Light Microscopic Features of the Oral Mucosa in Predicting Post-mortem Interval.

Authors:  Jagganath Patro; Swagatika Panda; Neeta Mohanty; Uma S Mishra
Journal:  Sultan Qaboos Univ Med J       Date:  2021-03-15

Review 2.  Forensic Entomology in China and Its Challenges.

Authors:  Yu Wang; Yinghui Wang; Man Wang; Wang Xu; Yanan Zhang; Jiangfeng Wang
Journal:  Insects       Date:  2021-03-08       Impact factor: 2.769

  2 in total

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