AIMC Topic: Forensic Medicine

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Effects of language mismatch in automatic forensic voice comparison using deep learning embeddings.

Journal of forensic sciences Mar 31, 2023
In forensic voice comparison, deep learning has become widely popular recently. It is mainly used to learn speaker representations, called embeddings or embedding vectors. Speaker embeddings are often trained using corpora mostly containing widely sp...
Language Forensic Medicine Deep Learning
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A comparative analysis of human and AI performance in forensic estimation of physical attributes.

Scientific reports Mar 23, 2023
Human errors in criminal investigations have previously led to devastating miscarriages of justice. For example, flaws in forensic identification based on physical or photographic evidence are notoriously unreliable. The criminal justice system has, ...
Artificial Intelligence Female Humans Male Forensic Medicine Physical Examination Reproducibility of Results
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Applications of artificial intelligence in forensic sciences: Current potential benefits, limitations and perspectives.

International journal of legal medicine Dec 12, 2022
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 of using AI methodologies to solve forensic well-known problems. Sp...
Humans Artificial Intelligence Forensic Anthropology Forensic Medicine Forensic Pathology
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Application of artificial intelligence and machine learning technology for the prediction of postmortem interval: A systematic review of preclinical and clinical studies.

Forensic science international Sep 20, 2022
BACKGROUND /PURPOSE: Establishing an accurate postmortem interval (PMI) is exceptionally crucial in forensic investigation. Artificial intelligence (AI) and Machine learning (ML) models are widely employed in forensic practice. ML is a part of AI, bo...
Machine Learning Technology Artificial Intelligence Autopsy Forensic Medicine Humans
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Using forensic analytics and machine learning to detect bribe payments in regime-switching environments: Evidence from the India demonetization.

PloS one Jun 9, 2022
We use a rich set of transaction data from a large retailer in India and a dataset on bribe payments to train random forest and XGBoost models using empirical measures guided by Benford's Law, a commonly used tool in forensic analytics. We evaluate t...
Machine Learning Forensic Medicine India
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Process-Driven Modelling of Media Forensic Investigations-Considerations on the Example of DeepFake Detection.

Sensors (Basel, Switzerland) Apr 20, 2022
Academic research in media forensics mainly focuses on methods for the detection of the traces or artefacts left by media manipulations in media objects. While the resulting detectors often achieve quite impressive detection performances, when tested...
Intention Videotape Recording Social Media Forensic Medicine Neural Networks, Computer
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Age Classification in Forensic Medicine Using Machine Learning Techniques.

Sovremennye tekhnologii v meditsine Jan 28, 2022
UNLABELLED: was to assess the capabilities of age determination (age group) at death using classification techniques by histomorphometric characteristics of osseous and cartilaginous tissue aging.
Machine Learning Humans Forensic Medicine Male Algorithms Bayes Theorem
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Explainable artificial intelligence in forensics: Realistic explanations for number of contributor predictions of DNA profiles.

Forensic science international. Genetics Nov 21, 2021
Machine learning obtains good accuracy in determining the number of contributors (NOC) in short tandem repeat (STR) mixture DNA profiles. However, the models used so far are not understandable to users as they only output a prediction without any rea...
Forensic Medicine Machine Learning DNA Artificial Intelligence Humans
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Determination of new psychoactive substances and other drugs in postmortem blood and urine by UHPLC-MS/MS: method validation and analysis of forensic samples.

Forensic toxicology Oct 5, 2021
PURPOSE: This study aimed to validate a modified QuEChERS method followed by ultra-high performance liquid chromatography-tandem mass spectrometry to determine 79 new psychoactive substances (NPS) and other drugs in blood and urine.
Body Fluids Phenethylamines Chromatography, High Pressure Liquid Tandem Mass Spectrometry Forensic Medicine Central Nervous System Agents
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Deep learning in forensic shotgun pattern interpretation - A proof-of-concept study.

Legal medicine (Tokyo, Japan) Aug 25, 2021
Little is known about the potential of artificial intelligence in forensic shotgun pattern interpretation. As shooting distance is among the main factors behind shotgun patterning, this proof-of-concept study aimed to explore the potential of neural ...
Proof of Concept Study Artificial Intelligence Forensic Medicine Humans Algorithms Deep Learning
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