AIMC Topic: Autopsy

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Ropinirole involved in a fatal case: blood and urinary concentrations.

Forensic toxicology Aug 14, 2021
PURPOSE: Ropinirole is an antiparkinsonian  drug and has recently been suggested to be effective in amyotrophic lateral sclerosis. It is expected that ropinirole prescriptions will increase in the near future. However, the fatal concentration in bloo...
Autopsy Heart Body Fluids Urinary Tract Physiological Phenomena Humans Amyotrophic Lateral Sclerosis
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Semi-Automated Determination of Heavy Metals in Autopsy Tissue Using Robot-Assisted Sample Preparation and ICP-MS.

Molecules (Basel, Switzerland) Jun 23, 2021
The endoprosthetic care of hip and knee joints introduces multiple materials into the human body. Metal containing implant surfaces release degradation products such as particulate wear and corrosion debris, metal-protein complexes, free metallic ion...
Chromium Titanium Nickel Aluminum Mass Spectrometry Robotics Prostheses and Implants Ions Autopsy Metals, Heavy Cobalt Corrosion Humans
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Decoding the microstructural properties of white matter using realistic models.

NeuroImage May 5, 2021
Multi-echo gradient echo (ME-GRE) magnetic resonance signal evolution in white matter has a strong dependence on the orientation of myelinated axons with respect to the main static field. Although analytical solutions have been able to predict some o...
Humans Computer Simulation Feasibility Studies Autopsy Neuroimaging Microscopy, Electron Deep Learning White Matter Models, Theoretical Female Magnetic Resonance Imaging Aged, 80 and over
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Extracting Cause of Death From Verbal Autopsy With Deep Learning Interpretable Methods.

IEEE journal of biomedical and health informatics Apr 6, 2021
The international standard to ascertain the cause of death is medical certification. However, in many low and middle-income countries, the majority of deaths occur outside of health facilities. In these cases, Verbal Autopsy (VA), the narrative provi...
Humans Autopsy Deep Learning Surveys and Questionnaires Cause of Death
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Machine Learning Approaches to Determine Feature Importance for Predicting Infant Autopsy Outcome.

Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society Mar 30, 2021
INTRODUCTION: Sudden unexpected death in infancy (SUDI) represents the commonest presentation of postneonatal death. We explored whether machine learning could be used to derive data driven insights for prediction of infant autopsy outcome.
Sudden Infant Death Clinical Decision Rules Feasibility Studies Autopsy Humans Machine Learning Infant, Newborn Infant Models, Statistical Decision Trees
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Potential use of deep learning techniques for postmortem imaging-moving beyond postmortem radiology.

Forensic science, medicine, and pathology Nov 11, 2020
Diagnostic Imaging Radiology Autopsy Deep Learning Radiography Humans
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Potential use of deep learning techniques for postmortem imaging.

Forensic science, medicine, and pathology Sep 29, 2020
The use of postmortem computed tomography in forensic medicine, in addition to conventional autopsy, is now a standard procedure in several countries. However, the large number of cases, the large amount of data, and the lack of postmortem radiology ...
Deep Learning Humans Forensic Medicine Neural Networks, Computer Autopsy Tomography, X-Ray Computed Postmortem Changes Whole Body Imaging
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Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning: A Feasibility Study.

Journal of forensic sciences Jul 8, 2020
Postmortem computed tomography (PMCT) is a relatively recent advancement in forensic pathology practice that has been increasingly used as an ancillary investigation and screening tool. One area of clinical CT imaging that has garnered a lot of resea...
Middle Aged Case-Control Studies Deep Learning Adolescent Feasibility Studies Forensic Medicine Brain Young Adult Tomography, X-Ray Computed Adult Aged Female Male Autopsy Aged, 80 and over Humans Craniocerebral Trauma Neural Networks, Computer
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Semi-supervised labelling of the femur in a whole-body post-mortem CT database using deep learning.

Computers in biology and medicine May 6, 2020
A deep learning pipeline was developed and used to localize and classify a variety of implants in the femur contained in whole-body post-mortem computed tomography (PMCT) scans. The results provide a proof-of-principle approach for labelling content ...
Deep Learning Autopsy Tomography, X-Ray Computed Femur Whole Body Imaging
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Determination of causes of death via spectrochemical analysis of forensic autopsies-based pulmonary edema fluid samples with deep learning algorithm.

Journal of biophotonics Jan 27, 2020
This study investigated whether infrared spectroscopy combined with a deep learning algorithm could be a useful tool for determining causes of death by analyzing pulmonary edema fluid from forensic autopsies. A newly designed convolutional neural net...
Humans Autopsy Deep Learning Algorithms Cause of Death Pulmonary Edema
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