AIMC Topic: Forensic Pathology

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A novel approach for estimating postmortem intervals under varying temperature conditions using pathology images and artificial intelligence models.

International journal of legal medicine Feb 28, 2025
Estimating the postmortem interval (PMI) is a critical yet complex task in forensic investigations, with accurate and timely determination playing a key role in case resolution and legal outcomes. Traditional methods often suffer from environmental v...
Humans Neural Networks, Computer Artificial Intelligence Deep Learning Image Processing, Computer-Assisted Postmortem Changes Forensic Pathology Machine Learning Algorithms Temperature
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Collagen and elastic fibers assessment of the human heart valves for age estimation in Thais using image analysis.

Forensic science, medicine, and pathology Apr 18, 2024
The study investigated the relationship between the histological compositions of the tricuspid, pulmonary, mitral, and aortic valves, and age. All 85 fresh human hearts were obtained with an age range between 20 and 90 years. The central area of the ...
Neural Networks, Computer Aged, 80 and over Female Young Adult Elastic Tissue Middle Aged Adult Aged Male Image Processing, Computer-Assisted Collagen Humans Aging Heart Valves Forensic Pathology
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Deep Learning-Based Diagnosis of Fatal Hypothermia Using Post-Mortem Computed Tomography.

The Tohoku journal of experimental medicine May 18, 2023
In forensic medicine, fatal hypothermia diagnosis is not always easy because findings are not specific, especially if traumatized. Post-mortem computed tomography (PMCT) is a useful adjunct to the cause-of-death diagnosis and some qualitative image c...
Tomography, X-Ray Computed Deep Learning Cause of Death Autopsy Humans Forensic Pathology Hypothermia
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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 Medicine Forensic Anthropology Forensic Pathology
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Deep learning in forensic gunshot wound interpretation-a proof-of-concept study.

International journal of legal medicine Apr 6, 2021
While the applications of deep learning are considered revolutionary within several medical specialties, forensic applications have been scarce despite the visual nature of the field. For example, a forensic pathologist may benefit from deep learning...
Forensic Ballistics Proof of Concept Study Wounds, Gunshot Forensic Pathology Neural Networks, Computer Deep Learning Models, Animal Animals Swine
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An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm.

International journal of legal medicine Jan 3, 2021
Seasonal or monthly databases of the diatom populations in specific bodies of water are needed to infer the drowning site of a drowned body. However, existing diatom testing methods are laborious, time-consuming, and costly and usually require specif...
Forensic Pathology Drowning Rivers Models, Animal Diatoms Rats Rats, Sprague-Dawley Seasons Neural Networks, Computer Artificial Intelligence Databases, Factual Lung China Sensitivity and Specificity Animals
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Identifying gross post-mortem organ images using a pre-trained convolutional neural network.

Journal of forensic sciences Oct 26, 2020
Identifying organs/tissue and pathology on radiological and microscopic images can be performed using convolutional neural networks (CNN). However, there are scant studies on applying CNN to post-mortem gross images of visceral organs. This proof-of-...
Brain Lung Humans Neural Networks, Computer Myocardium Image Processing, Computer-Assisted Photography Spleen Kidney Forensic Pathology Liver
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Automated diatom searching in the digital scanning electron microscopy images of drowning cases using the deep neural networks.

International journal of legal medicine Aug 13, 2020
Forensic diatom test has been widely accepted as a way of providing supportive evidences in the diagnosis of drowning. The current workflow is primarily based on the observation of diatoms by forensic pathologists under a microscopy, and this process...
Diatoms Forensic Pathology Drowning Neural Networks, Computer Deep Learning Microscopy, Electron, Scanning Humans
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Digital whole-slide image analysis for automated diatom test in forensic cases of drowning using a convolutional neural network algorithm.

Forensic science international Aug 8, 2019
Diatom examinations have been widely used to perform drowning diagnosis in forensic practice. However, current methods for recognizing diatoms, which use light or electron microscopy, are time-consuming and laborious and often result in false positiv...
Sensitivity and Specificity Lung Deep Learning Diatoms Forensic Pathology Humans Drowning Neural Networks, Computer Algorithms
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Machine learning of brain gray matter differentiates sex in a large forensic sample.

Human brain mapping Nov 15, 2018
Differences between males and females have been extensively documented in biological, psychological, and behavioral domains. Among these, sex differences in the rate and typology of antisocial behavior remains one of the most conspicuous and enduring...
Crime Criminals Young Adult Prisoners Female Humans Child Adult Reproducibility of Results Forensic Pathology Machine Learning Male Image Processing, Computer-Assisted Aged Magnetic Resonance Imaging Brain Middle Aged Sex Characteristics Adolescent Gray Matter
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