Applications of artificial intelligence in forensic sciences: C urrent potential benefits, limitations and perspectives

N Galante, R Cotroneo, D Furci, G Lodetti… - International journal of …, 2023 - Springer
In recent years, new studies based on artificial intelligence (AI) have been conducted in the
forensic field, posing new challenges and demonstrating the advantages and disadvantages …

[HTML][HTML] Artificial intelligence in forensic medicine and forensic dentistry

M Vodanović, M Subašić, D Milošević… - The journal of forensic …, 2023 - ncbi.nlm.nih.gov
This review article aims to highlight the current possibilities for applying Artificial Intelligence
in modern forensic medicine and forensic dentistry and present the advantages and …

Use of advanced artificial intelligence in forensic medicine, forensic anthropology and clinical anatomy

A Thurzo, HS Kosnáčová, V Kurilová, S Kosmeľ… - Healthcare, 2021 - mdpi.com
Three-dimensional convolutional neural networks (3D CNN) of artificial intelligence (AI) are
potent in image processing and recognition using deep learning to perform generative and …

Dual-channel capsule generative adversarial network optimized with golden eagle optimization for pediatric bone age assessment from hand X-ray image

J Jasper Gnana Chandran, R Karthick… - … Journal of Pattern …, 2023 - World Scientific
Bone age assessment (BAA) is mainly utilized for detecting the growth of pediatrics because
a large number of bone diseases occur at young age. Several algorithms related to BAAs …

Current and emerging artificial intelligence applications for pediatric musculoskeletal radiology

AC Offiah - Pediatric radiology, 2022 - Springer
Artificial intelligence (AI) is playing an ever-increasing role in radiology (more so in the adult
world than in pediatrics), to the extent that there are unfounded fears it will completely take …

Automated age estimation of young individuals based on 3D knee MRI using deep learning

MA Mauer, EJ Well, J Herrmann, M Groth… - International Journal of …, 2021 - Springer
Age estimation is a crucial element of forensic medicine to assess the chronological age of
living individuals without or lacking valid legal documentation. Methods used in practice are …

Application of artificial intelligence and machine learning technology for the prediction of postmortem interval: A systematic review of preclinical and clinical studies

R Sharma, AR Bhute, BK Bastia - Forensic science international, 2022 - Elsevier
Background/purpose Establishing an accurate postmortem interval (PMI) is exceptionally
crucial in forensic investigation. Artificial intelligence (AI) and Machine learning (ML) models …

A survey on artificial intelligence techniques for biomedical image analysis in skeleton-based forensic human identification

P Mesejo, R Martos, Ó Ibáñez, J Novo, M Ortega - Applied Sciences, 2020 - mdpi.com
This paper represents the first survey on the application of AI techniques for the analysis of
biomedical images with forensic human identification purposes. Human identification is of …

Validation of data mining models by comparing with conventional methods for dental age estimation in Korean juveniles and young adults

A Kumagai, S Jeong, D Kim, HJ Kong, S Oh, SS Lee - Scientific Reports, 2023 - nature.com
Teeth are known to be the most accurate age indicators of human body and are frequently
applied in forensic age estimation. We aimed to validate data mining-based dental age …

Artificial intelligence in the practice of forensic medicine: a scoping review

L Tournois, V Trousset, D Hatsch, T Delabarde… - International Journal of …, 2024 - Springer
Forensic medicine is a thriving application field for artificial intelligence (AI). Indeed, AI
applications intended to forensic pathologists or forensic physicians have emerged since the …