The implication of artificial intelligence in radiographic evaluation of trauma and acute care

Abstract

Artificial intelligence (AI) transforms trauma radiology by improving diagnostic speed, accuracy, and workflow efficiency. This study aims to review AI applications in trauma radiology, focusing on injury detection, emergency management planning, and disaster response systems. The results demonstrate that AI effectively identifies fractures, internal organ injuries, spinal trauma, and soft tissue damage through its high sensitivity and specificity. It also facilitates emergency care triage systems and supports clinical decision-making tools. In addition, AI enables mobile imaging, telemedicine capabilities and optimizes data management during disaster situations. AI shows substantial potential for improving outcomes in critical situations with limited resources despite facing obstacles related to diverse data sources, infrastructure issues, and ethical concerns. AI applications are changing how trauma radiology operates by providing better diagnostic capabilities. Yet, broader clinical implementation depends on resolving technical challenges and ethical and logistical issues while ensuring adequate validation.

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