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All Journal Medicra (Journal of Medical Laboratory Science/Technology) Jurnal Indonesia Sosial Teknologi
Ur Rahman, Ateeq
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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The Role of Artificial Intelligence in the Development of 3D Facial Reconstructions on Skull Bones as a Forensic Investigation Solution Setiawardania, Alvina; Ur Rahman, Ateeq; Utama, Anisa Nadila; Prakosa, Juni Sungsang; Susilo, Yuwono Ariyanto
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 2 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i2.5339

Abstract

Forensic cases often provide challenges to forensic researchers in conducting investigations, one of which is to identify the body. As technology develops and the digital era, the use of AI technology can also be applied to forensic cases. One of them is in performing facial reconstruction using Artificial Intelligence technology, such as Convolutional Neural Networks (CNN), and Three Dimensional Deep Learning (TDD). The three main components used are 1) Tissue Depth Distribution (TDD), (2) Initial Face Generation, and (3) Anatomy-Guided Face Adaptation. This technique combines biological profiles and performs tissue depth distribution analysis so that it can produce accurate facial reconstructions.
Sex Determination Based on Finger Bones: A Systematic Review: Penentuan Jenis Kelamin Berdasarkan Tulang Jari: Tinjauan Sistematis ur Rahman, Ateeq; Kristianto, Sonny; Widodo, Wimbuh Tri; Rayditya Milanio, Roderikus; ur Rahman, Anees; Setiawardani, Alvina; ul Haq, Ihtisham
Medicra (Journal of Medical Laboratory Science/Technology) Vol. 8 No. 1 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/medicra.v8i1.1754

Abstract

Sex determination is a crucial step in forensic investigations, particularly when skeletal remains are incomplete. This study aims to evaluate the accuracy of using finger bones as indicators of sex through a systematic review approach. The literature selection followed PRISMA guidelines, with data retrieved from PubMed and Google Scholar using relevant keywords. Out of 95 identified articles, only 10 met the inclusion criteria and were further analyzed. Findings indicate that the length and proportion of finger bones—especially the ring and little fingers—differ significantly between males and females. Classification accuracy based on phalangeal and metacarpal measurements ranged from 80% to 94%. Additionally, hormonal influences such as testosterone contribute to these morphological differences. These results support the effectiveness of finger bones as an alternative method for sex estimation, particularly when pelvis or skull bones are unavailable in forensic contexts.
Co-Authors Kristianto, Sonny Prakosa, Juni Sungsang Rayditya Milanio, Roderikus Setiawardani, Alvina Setiawardania, Alvina Susilo, Yuwono Ariyanto ul Haq, Ihtisham ur Rahman, Anees Utama, Anisa Nadila Wimbuh Tri Widodo