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A systematic review of 3D scanners and computer assisted analyzes of bite marks: searching for improved analysis methods during the Covid-19 pandemic.
Vilborn, Piret; Bernitz, Herman.
  • Vilborn P; Department of Oral Pathology and Oral Biology, School of Dentistry, Faculty of Health Sciences, University of Pretoria, PO Box 1266, Pretoria, 0001, South Africa. vilborn@gmail.com.
  • Bernitz H; Department of Oral Pathology and Oral Biology, School of Dentistry, Faculty of Health Sciences, University of Pretoria, PO Box 1266, Pretoria, 0001, South Africa.
Int J Legal Med ; 136(1): 209-217, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1321741
ABSTRACT
The global Covid-19 pandemic has forced forensic dentists to improve infection control methods. This search investigated the practical utilization of different 3D scanners to record and to analyze bite marks in the skin- and inanimate objects with this aim in mind. A systematic review of the literature using keywords like "human bite mark", "bite mark analyzes", "3D analyzes", "3D scanning", "forensic odontology", and "forensic dentistry" was performed in three scientific databases MEDLINEOvid®, Pubmed® and Google Scholar. The initial search yielded 263 full-text articles, of which 15 were considered eligible and current within the last 10 years. 3D scanners and computer-assisted human bite mark analyzes showed potential advantages and can be effectively used in forensic odontology on skin and inanimate objects. These technologies minimize the number of people being exposed to pathogens, simplify the chain of evidence, facilitate immediate information exchange between the team members and enable the virtual presentation of the expert witnesses in a court of law.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Bites, Human / Image Processing, Computer-Assisted / Forensic Dentistry Type of study: Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Int J Legal Med Journal subject: Jurisprudence Year: 2022 Document Type: Article Affiliation country: S00414-021-02667-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Bites, Human / Image Processing, Computer-Assisted / Forensic Dentistry Type of study: Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Int J Legal Med Journal subject: Jurisprudence Year: 2022 Document Type: Article Affiliation country: S00414-021-02667-z