Implementing AI for Predictive Analysis in Emergency Medicine

Authors

  • Ashley Scott
  • Jamie Hill
  • Drew Wilson

Keywords:

artificial intelligence, predictive analysis, emergency medicine, machine learning, healthcare innovation

Abstract

This paper investigates the role of artificial intelligence (AI) in enhancing predictive analysis within emergency medicine. By leveraging machine learning algorithms, healthcare providers can identify at-risk patients and predict potential emergency scenarios more accurately. This study highlights multiple AI applications, including risk stratification and resource allocation, while addressing ethical considerations and data privacy concerns. The findings underscore AI's potential to revolutionize emergency care, improve patient outcomes, and optimize hospital resources.

Author Biographies

Ashley Scott

PhD in Artificial Intelligence
Technical University of Munich
Arcisstrasse 21, 80333 Munich, Germany

Jamie Hill

MD in Emergency Medicine
Bogomolets National Medical University
T. Shevchenko Blvd, 13, Kyiv, 01601, Ukraine

Drew Wilson

PhD in Health Informatics
Massachusetts Institute of Technology
77 Massachusetts Ave, Cambridge, MA 02139, USA

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Published

2023-10-20

Issue

Section

Articles