Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal e-GIGI
Yunus, Aditia D.
Unknown Affiliation
Dentistry

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Dental Profiling and Findings of Multiple Jaw Fractures in Traffic Accident Victim: A Case Report Yunus, Aditia D.; Gultom, Ferry P.; Puspitawati, Ria; Sari, Fitri A.; Prastyo, Eko; Rijaldi, Ferdy; Suripto, Suripto
e-GiGi Vol. 12 No. 2 (2024): e-GiGi
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35790/eg.v12i2.53455

Abstract

Abstract: Motorcycle riders have a high prevalence of accident risks. These accidents can result in severe injuries and can even lead to death. The death prevalence among motorcyclists is three times higher than that of car passengers, six times higher than that of pedestrians, and almost 50 times higher than that of bus occupants. Traffic accidents can cause blunt trauma. High-speed crashes are common in polytraumatized motorcycle crashes and often display facial injuries. In this case report, the authors present a case of an accident with findings of facial trauma to the forehead, nose, cheeks, and multiple fractures of the maxilla and mandible due to a hard object impact. Dental examination revealed post-mortem tooth loss, fractures of the teeth, attrition, root remains, and visible impaction. In conclusion, craniofacial blunt trauma presents with many clinical features. The authors recommend that the finding of such cases be performed further examinations such as X-rays to gain an idea of the possible location of the fracture and to do an autopsy. Keywords: motorcycle accident; blunt trauma; maxillary fracture; mandibular fracture
Artificial Intelligence–Driven Innovations in Forensic Odontology for Human Identification: A Narrative Review Pasaribu, Roben S.; Muliawati, Dian; Yunus, Aditia D.
e-GiGi Vol. 14 No. 2 (2026): e-GiGi
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35790/eg.v14i2.65713

Abstract

Abstract: Forensic odontology is a branch of forensic science that plays a role in identification, including age and sex estimation. The identification results acted as valid evidence based on the science of forensic dentistry, which is used in the judicial process. Traditional methods of identification have the disadvantage of subjectivity on the part of the examiner. The analysis results can be biased, leading to incorrect conclusions. The rapid development of technology has impacted the field of forensic odontology. This review aimed to evaluate the potential and applications of AI in forensic odontology. Artificial intelligence (AI) is a computer-based system designed using principles of human intelligence. The application of artificial intelligence to assist forensic experts is growing and being explored increasingly. Artificial intelligence in forensic odontology plays a role in gender determination, age estimation, lip print analysis, toothmark analysis, personal identification, and facial reconstruction. The AI-based identification process is expected to eliminate the researcher's subjectivity and improve the accuracy of the results. In conclusion, artificial intelligence (AI) has significantly influenced forensic odontology by supporting key forensic tasks, including age estimation, sex determination, cheiloscopy analysis, and facial reconstruction. Keywords: forensic odontology; artificial intelligence; identification process; application
Co-Authors Eko Prastyo Ferry P. Gultom, Ferry P. Muliawati, Dian Pasaribu, Roben S. Ria Puspitawati Rijaldi, Ferdy Sari, Fitri A. Suripto Suripto