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:: Volume 13, Issue 1 (3-2024) ::
Int J Med Invest 2024, 13(1): 1-11 Back to browse issues page
Artificial Intelligence In Emergency Medicine And It Impact On Patient Related Factors
Samaneh Abiri , Lohrasb Taheri , Behrang Rezvani Kakhki , Masoud Shahabian , Maryam Ziyaei , Shahram Shafa , Arman Hakemi
Abstract:   (1236 Views)
Artificial Intelligence (AI) has transformed medicine by leveraging machine learning to analyze medical data, enhancing healthcare outcomes. From its roots in the 1950s to recent advancements in deep learning, AI's evolution has accelerated, particularly in emergency medicine. This review explores how AI influences patient-related factors in the emergency department, improving decision-making, disease diagnosis, and overall care quality. AI transforms emergency care by swiftly diagnosing and optimizing resource allocation. In prehospital settings, AI aids patient evaluation, ensuring timely treatment. Ethical considerations, like transparency and privacy, are pivotal in responsible AI integration, ultimately enhancing diagnostic capabilities and improving patient care in emergency rooms. Predictive analytics enhances patient care by forecasting outcomes and streamlining operations. AI image recognition improves diagnostic capabilities, while AI-powered chatbots offer real-time guidance in emergencies.. AI is reshaping patient care in Emergency Departments across key aspects: patient stratification, mortality analysis, and cost reduction. AI tools, employing sophisticated algorithms, enhance risk identification and resource allocation in patient stratification. In mortality analysis, AI applications show promise in hastening treatment, but ethical considerations remain paramount. Cost reduction is addressed through AI's efficiency improvements, decreased wait times, and optimal resource allocation, positively impacting patients' financial burdens.
 
Keywords: Artificial Intelligence, Emergency medicine, Patient related.
Full-Text [PDF 523 kb]   (287 Downloads)    
Type of Study: Research | Subject: General
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Abiri S, Taheri L, Kakhki B R, Shahabian M, Ziyaei M, Shafa S et al . Artificial Intelligence In Emergency Medicine And It Impact On Patient Related Factors. Int J Med Invest 2024; 13 (1) :1-11
URL: http://intjmi.com/article-1-1102-en.html


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Volume 13, Issue 1 (3-2024) Back to browse issues page
International Journal of Medical Investigation
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