The Transformative Role of Radiology in Emergency Settings and Trauma Management: Leveraging Artificial Intelligence for Enhanced Diagnostic and Therapeutic Outcomes

Abstract

Background: Radiology plays a crucial role in emergency settings and trauma cases, where timely and accurate imaging is essential for effective patient management. The integration of artificial intelligence (AI) is poised to enhance radiological practices, improving diagnostic accuracy and workflow efficiency.

Methods: This review examines the current landscape of AI applications in emergency radiology. A comprehensive literature search was conducted using reputable databases, focusing on studies published from 2018 to 2023 that explore AI's role in image acquisition, interpretation, and reporting within emergency settings.

Results: The findings indicate that AI technologies significantly improve patient outcomes by facilitating rapid diagnosis and treatment decisions. AI algorithms enhance image acquisition through automated patient positioning, optimizing radiation exposure, and improving image quality. Additionally, AI assists in prioritizing worklists, ensuring that critical cases receive prompt attention. The review highlights successful implementations of AI in detecting pathologies, such as intracranial hemorrhage and pulmonary embolism, showcasing improved diagnostic performance compared to traditional methods.

Conclusion: The adoption of AI in emergency radiology represents a paradigm shift, enhancing the efficiency and accuracy of imaging processes. However, challenges remain, including the need for robust validation, interpretability of AI models, and integration into existing workflows. Ongoing research is essential to maximize the potential of AI technologies in emergency radiology and ensure their safe and effective use.