Literature DB >> 30639854

Artificial intelligence for sex determination of skeletal remains: Application of a deep learning artificial neural network to human skulls.

James Bewes1, Andrew Low2, Antony Morphett3, F Donald Pate4, Maciej Henneberg5.   

Abstract

A deep learning artificial neural network was adapted to the task of sex determination of skeletal remains. The neural network was trained on images of 900 skulls virtually reconstructed from hospital CT scans. When tested on previously unseen images of skulls, the artificial neural network showed 95% accuracy at sex determination. Artificial intelligence methods require no significant expertise to implement once trained, are rapid to use, and have the potential to eliminate human bias from sex estimation of skeletal remains.
Copyright © 2019 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Artificial neural network; Deep learning; Sex determination; Skull determination

Mesh:

Year:  2019        PMID: 30639854     DOI: 10.1016/j.jflm.2019.01.004

Source DB:  PubMed          Journal:  J Forensic Leg Med        ISSN: 1752-928X            Impact factor:   1.614


  5 in total

1.  Analysis of the performance of machine learning and deep learning methods for sex estimation of infant individuals from the analysis of 2D images of the ilium.

Authors:  Raúl Fernández Ortega; Javier Irurita; Enrique José Estévez Campo; Pablo Mesejo
Journal:  Int J Legal Med       Date:  2021-07-16       Impact factor: 2.686

2.  Human Remains Identification Using Micro-CT, Chemometric and AI Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Sulphuric Acid Significant Impact.

Authors:  Andrej Thurzo; Viera Jančovičová; Miroslav Hain; Milan Thurzo; Bohuslav Novák; Helena Kosnáčová; Viera Lehotská; Ivan Varga; Peter Kováč; Norbert Moravanský
Journal:  Molecules       Date:  2022-06-23       Impact factor: 4.927

Review 3.  Clinical applications and performance of intelligent systems in dental and maxillofacial radiology: A review.

Authors:  Ravleen Nagi; Konidena Aravinda; N Rakesh; Rajesh Gupta; Ajay Pal; Amrit Kaur Mann
Journal:  Imaging Sci Dent       Date:  2020-06-18

4.  Sex determination from lateral cephalometric radiographs using an automated deep learning convolutional neural network.

Authors:  Maryam Khazaei; Vahid Mollabashi; Hassan Khotanlou; Maryam Farhadian
Journal:  Imaging Sci Dent       Date:  2022-07-05

5.  Three-Dimensional Dental Analysis for Sex Estimation in the Italian Population: A Pilot Study Based on a Geometric Morphometric and Artificial Neural Network Approach.

Authors:  Giorgio Oliva; Vilma Pinchi; Ilenia Bianchi; Martina Focardi; Corrado Paganelli; Rinaldo Zotti; Domenico Dalessandri
Journal:  Healthcare (Basel)       Date:  2021-12-22
  5 in total

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