Novel approach for forensic dental identification using maxillary homologous models

This method accurately identified individuals, including monozygotic twins, and exhibited robustness against minor tooth attrition, demonstrating its feasibility as an identification method in actual forensic settings.

Authors

Institutions

Publication Details

Journal
Journal of Oral Science
Published
2025-01-01
DOI
https://doi.org/10.2334/josnusd.24-0332
Primary Topic
Forensic Anthropology and Bioarchaeology Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Novel approach for forensic dental identification using maxillary homologous models

Isuruni Kuruppuarachchige, Yuka Hatano, Upul Cooray, Moe Kosaka et al.
Journal of Oral Science
Forensic Anthropology and Bioarchaeology Studies
article

Novel approach for forensic dental identification using maxillary homologous models

Isuruni Kuruppuarachchige, Yuka Hatano, Upul Cooray, Moe Kosaka, Toshihiko Suzuki
article en

Abstract

This method accurately identified individuals, including monozygotic twins, and exhibited robustness against minor tooth attrition, demonstrating its feasibility as an identification method in actual forensic settings.

Journal of Oral ScienceVol. 67(2)
Tohoku University (JP), National Dental Centre of Singapore (SG)
Japan Science and Technology Agency
Gender equality
Openalex Percentile: Top 90%
Forensic Anthropology and Bioarchaeology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.