Online ISSN: 3007-0244,
Print ISSN:  2410-4280
THE CURRENT STATE OF VIRTUAL AUTOPSY USING INTEGRATED VISUALIZATION TECHNOLOGIES
Relevance. Virtual autopsy is positioned as a non-invasive method of postmortal examination, which provides objectively verifiable forensic data without the need for a traditional autopsy. The aim of this study was to evaluate the diagnostic value of virtual autopsy (virtopsy) as an alternative to traditional medical autopsy in patients undergoing intensive care in the anesthesiology intensive care unit (ICU). Materials and methods: Study design: Prospective study. Multidetector computed tomography (MDCT), magnetic resonance imaging (MRI), 3D image reconstruction, and histological assessment performed under the supervision of certified specialists. Diagnostic data from virtual autopsy were compared with clinical diagnoses and the results of traditional forensic examination, which allowed us to evaluate the accuracy and completeness of the identified pathologies. Results: Virtual autopsy confirms 88% of clinical diagnoses and identifies additional pathologies, such as hemorrhages, strokes, and pneumothorax, including changes that could be missed during a traditional autopsy. These findings demonstrate the high diagnostic efficacy of the method, its practical value for improving the accuracy of postmortem diagnostics, and expanding capabilities in forensic and clinical fields. Overall, the study demonstrates the potential of virtual autopsy as a promising non-invasive tool in modern medicine. Conclusions: The study confirmed the feasibility of using virtual autopsy as an effective complement to and temporary replacement for traditional autopsy, contributing to the development of modern postmortem diagnostic methods and improving the quality of medical examinations in both forensic and clinical fields.
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Category of articles: Original article

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Myrzakhanova M.N., Rustemova G.R., Abutalipova A.D., Syzdykbayev M.K., Tuleuov B.M., Alimkhanova G.N. Current state of virtual autopsy using integrated visualization technologies // Nauka i Zdravookhranenie [Science & Healthcare]. 2025. Vol.27 (5), pp. 112-119. doi 10.34689/SH.2025.27.5.014

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