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1.
Journal of Forensic Medicine ; (6): 40-45, 2022.
Article in English | WPRIM | ID: wpr-984093

ABSTRACT

OBJECTIVES@#To explore the application values of diatom artificial intelligence (AI) search system in the diagnosis of drowning.@*METHODS@#The liver and kidney tissues of 12 drowned corpses were taken and were performed with the diatom test, the view images were obtained by scanning electron microscopy (SEM). Diatom detection and forensic expert manual identification were carried out under the thresholds of 0.5, 0.7 and 0.9 of the diatom AI search system, respectively. Diatom recall rate, precision rate and image exclusion rate were used to detect and compare the efficiency of diatom AI search system.@*RESULTS@#There was no statistical difference between the number of diatoms detected in the target marked by the diatom AI search system and the number of diatoms identified manually (P>0.05); the recall rates of the diatom AI search system were statistically different under different thresholds (P<0.05); the precision rates of the diatom AI system were statistically different under different thresholds(P<0.05), and the highest precision rate was 53.15%; the image exclusion rates of the diatom AI search system were statistically different under different thresholds (P<0.05), and the highest image exclusion rate was 99.72%. For the same sample, the time taken by the diatom AI search system to identify diatoms was only 1/7 of that of manual identification.@*CONCLUSIONS@#Diatom AI search system has a good application prospect in drowning cases. Its automatic diatom search ability is equal to that of experienced forensic experts, and it can greatly reduce the workload of manual observation of images.


Subject(s)
Humans , Artificial Intelligence , Diatoms , Drowning/diagnosis , Liver , Lung , Microscopy, Electron, Scanning
2.
Journal of Forensic Medicine ; (6): 273-275, 2013.
Article in Chinese | WPRIM | ID: wpr-983835

ABSTRACT

OBJECTIVE@#To explore the cause of death, clinical manifestations and forensic pathological features of death cases caused by aortic dissection.@*METHODS@#Sixty-three cases of aortic dissection were selected from forensic medical center, Sun Yat-sen University from 2001 to 2011 and retrospectively analyzed.@*RESULTS@#The patients were mostly young and middle-aged male, aged from 30 to 49 years old. The DeBakey type II was the most common pathological type and the main cause of death was pericardial tamponade. The most common symptom was abdominal pain. However, the location of aorta dissection did not always correlate with the location of pain. Some cases showed no obvious clinical symptoms. The rupture was usually located in ascending aorta with atherosclerosis and pathological changes of hypertension.@*CONCLUSION@#It is significant for diagnosis and evaluation the cause of death of aortic dissection by knowing the clinical symptoms and forensic pathological features.


Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Young Adult , Age Factors , Aortic Dissection/pathology , Aorta/pathology , Aortic Aneurysm/pathology , Aortic Rupture/pathology , Cardiac Tamponade/pathology , Death, Sudden/pathology , Diagnostic Errors , Forensic Pathology , Retrospective Studies , Risk Factors , Severity of Illness Index
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