CRITICAL CARE REDEFINED: AI INNOVATIONS IN EMERGENCY MEDICINE

Authors

  • Anala Calvert Department of Computer Science, University of Cambridge

Keywords:

Emergency Medicine, Artificial Intelligence, Critical Care, Real-Time Data Analysis, Predictive Modeling, Decision Support, Patient Outcomes, Resource Utilization, Ethical Considerations

Abstract

The landscape of emergency medicine is undergoing a paradigm shift with the integration of artificial intelligence (AI) innovations. This paper explores the transformative role of AI in redefining critical care scenarios within emergency medicine. From real-time data analysis to predictive modeling and decision support systems, AI technologies are revolutionizing the way emergency healthcare providers approach patient care. The abstract delves into key AI applications, their impact on resource utilization, and the ethical considerations associated with their implementation in emergency settings.

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Published

2024-08-16

How to Cite

Anala Calvert. (2024). CRITICAL CARE REDEFINED: AI INNOVATIONS IN EMERGENCY MEDICINE. Indus Journal of Medical and Health Sciences, 2(01), 46–56. Retrieved from https://induspublishers.com/index.php/IJMHS/article/view/1316

Issue

Vol. 2 No. 01 (2024): Indus Journal of Medical and Health Sciences

Section

Orignal Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.