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 | 86974 |
| عنوان فارسی مقاله | نقش هوش مصنوعی در آموزش بالینی مسمومیتها در بیمارستانهای ایران |
| عنوان لاتین مقاله | The Role of Artificial Intelligence in Medical Toxicology Education in Iranian Hospitals |
| 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 |
|---|---|
| خلاصه مقاله | Introduction Poisoning is one of the most common medical emergencies in Iranian hospitals. Although the quality of clinical education in this field is generally satisfactory, the limited number of training modules and teaching opportunities has highlighted the need for innovative and supplementary educational approaches. Artificial intelligence (AI) is recognized as an effective tool for enhancing educational efficiency. This article examines global experiences and existing evidence regarding the use of AI in medical education, with a focus on potential strategies for its implementation in Iran. Method This article draws on data collected from credible scientific sources and previous studies on the application of AI in medical education. To identify practical tools, a range of articles discussing the use of software simulators, educational chatbots, and interactive quizzes—widely recognized as cost-effective and efficient methods for enhancing education—were reviewed. Results Globally, AI tools in medical education have proven effective in enhancing both learning outcomes and clinical decision-making. Evidence from various applications highlights that AI-driven tools, such as simulators and interactive chatbots, can deliver accurate, real-time information, deepen students' comprehension, and improve their practical skills in managing complex and rare clinical scenarios. Conclusion Adapting global experiences to the local context in Iran by utilizing cost-effective and localized AI tools can significantly expand learning opportunities in managing complex, severe, or rare poisoning cases while improving educational efficiency. Developing AI-based systems capable of analyzing and modeling real hospital data is recommended to create more realistic and practical educational scenarios, thereby strengthening the overall learning process. |
| کلمات کلیدی | Artificial Intelligence (AI); Clinical Education; Poisoning; Educational Simulation |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| 2 ali.pdf | 1403/12/07 | 26697 | دانلود |
| GOVAHI banagozar.jpg | 1403/12/07 | 787553 | دانلود |
