Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study

Combining mandibular cropping with deep learning and balanced preprocessing scenarios enhances demographic prediction in cephalometric radiographs. The findings emphasize the potential use of artificial intelligence-assisted forensic odontology to support disaster victim identification when partial remains are available.

Authors

Bayu Azra Yudhantorro (ORCID: https://orcid.org/0000-0001-6206-4753)
Vitria Wuri Handayani (ORCID: https://orcid.org/0000-0002-5076-0118)
Mieke Sylvia Margaretha Amiatun Ruth
Arofi Kurniawan
Ahmad Yudianto
Riries Rulaningtyas

Institutions

Sepuluh Nopember Institute of Technology (ID)
Universitas Airlangga (ID)
Universitas Muhammadiyah Pontianak (ID)
Pancur Kasih Association (ID)

Publication Details

Journal: JMIR AI
Published: 2026-01-20
DOI: https://doi.org/10.2196/84984
Primary Topic: Forensic Anthropology and Bioarchaeology Studies
Type: article
Field-Weighted Citation Impact: 0.00

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article

Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study

Bayu Azra Yudhantorro, Vitria Wuri Handayani, Mieke Sylvia Margaretha Amiatun Ruth, Arofi Kurniawan et al.

Jan 20, 2026

JMIR AI

Forensic Anthropology and Bioarchaeology Studies

article

Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study

Bayu Azra Yudhantorro, Vitria Wuri Handayani, Mieke Sylvia Margaretha Amiatun Ruth, Arofi Kurniawan, Ahmad Yudianto, Riries Rulaningtyas

January 20, 2026article en

Abstract

Combining mandibular cropping with deep learning and balanced preprocessing scenarios enhances demographic prediction in cephalometric radiographs. The findings emphasize the potential use of artificial intelligence-assisted forensic odontology to support disaster victim identification when partial remains are available.

JMIR AIVol. 5

Sepuluh Nopember Institute of Technology (ID), Universitas Airlangga (ID), Universitas Muhammadiyah Pontianak (ID), Pancur Kasih Association (ID)

Gender equality

Openalex Percentile: Top 83%

Forensic Anthropology and Bioarchaeology Studies

DOI Open Access PDF OpenAlex

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Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study — Bayu Azra Yudhantorro, Vitria Wuri Handayani, et al. · JMIR AI (2026) | TGRS Research Map | TGRS