چاپ صفحه |  صفحه نخست سامانه |  نویسندگان |  اطلاعات تفضیلی |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده ثبت کننده مقاله | علی بناگذارمحمدی |
| مرحله جاری مقاله | تایید نهایی |
| دانشکده/مرکز مربوطه | دانشکده پزشکی |
| کد مقاله | 86973 |
| عنوان فارسی مقاله | نقش و تواناییهای هوش مصنوعی در تشخیص هویت اجساد ناشی از سقوط هواپیما |
| عنوان لاتین مقاله | The Role and Capabilities of Artificial Intelligence in Identifying Victims of Plane Crashes |
| نوع ارائه | پوستر |
| عنوان کنگره / همایش | The First International Virtual Congress on the Application of Artificial Intelligence in Medical Sciences |
| نوع کنگره / همایش | بین المللی |
| کشور محل برگزاری کنگره/ همایش | Iran (Islamic Republic) |
| شهر محل برگزاری کنگره/ همایش | Tabriz |
| سال انتشار/ ارائه شمسی | 1403 |
| سال انتشار/ارائه میلادی | 2025 |
| تاریخ شمسی شروع و خاتمه کنگره/همایش | 1403/11/13 الی 1403/11/17 |
| آدرس لینک مقاله/ همایش در شبکه اینترنت | https://tabrizvai.ir/ |
| آدرس علمی (Affiliation) نویسنده متقاضی | Internal Medicine Department, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran |
| نویسنده | نفر چندم مقاله |
|---|---|
| علی بناگذارمحمدی | اول |
| علی استادی | دوم |
| مریم زارع نهندی | سوم |
| عنوان | متن |
|---|---|
| کلمات کلیدی | Keywords: Artificial Intelligence (AI), Forensic Identification, Plane Crash Victims, DNA Analysis, Autopsy Data, Biometric Databases, Deep Learning Algorithms, Forensic Science, Accident Reconstruction, Iran, Technology Integration. |
| خلاصه مقاله | Introduction Airplane crashes are among incidents that present complex challenges for identifying victims due to the severity of destruction and dispersion of remains. Traditional forensic methods are often time-consuming due to time constraints and the extent of damage to the bodies. In this context, Artificial Intelligence (AI), with its advanced capabilities, can significantly improve the accuracy and speed of victim identification. Methodology In this study, scientific literature was reviewed and AI applications were examined. The actions taken in other countries were assessed and compared to the situation in Iran. According to studies, AI can optimize the identification process by utilizing genetic processing algorithms and deep learning, combining data from the accident scene, autopsy information, DNA data, medical records, and biometric databases. Additionally, AI can integrate these data with other information obtained from the accident site, such as drone images and the distribution of remains. This combined analysis not only helps in more accurate identification but also plays a role in reconstructing the event and the positioning of the victims. Results The use of AI has led to a reduction in identification time and an increase in accuracy. This technology also allows for the management of large datasets and the integration of various sources of information, including autopsy, DNA, and medical records. AI analyses indicate that, with the available resources and current conditions, the use of AI in airplane crash scenarios can reduce identification time by up to 30%. Conclusion The use of AI in identifying victims of airplane crashes can significantly enhance the accuracy and speed of the identification process. Based on the experiences of other countries, Iran can also take significant steps to improve forensic performance by investing in this field and utilizing modern technologies. |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| 1 ali.pdf | 1403/12/07 | 26703 | دانلود |
| Ali Banagozar Mohammadi Ali Ostadi, Maryam Zaare Nahandi.pdf | 1404/01/23 | 455521 | دانلود |
