2024
DOI: 10.30574/wjarr.2024.21.2.0605
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Integrating artificial intelligence and adult dental age estimation in forensic identification: A literature review

Arofi Kurniawan,
Aisyah Novianti,
Feby Ayu Lestari
et al.

Abstract: Age estimation is crucial in various forensic fields, including forensic medicine, anthropology, and demographic studies. Adult dental age estimation is affected by multiple factors, resulting in discrepancies between dental age and chronological age. The development of artificial intelligence (AI) technology has led to extensive investigations in forensic sciences, encompassing several areas such as facial recognition, age, sex identification, and DNA analysis. Adult age estimation methods commonly used inclu… Show more

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