Future of artificial intelligence applications in Joint trauma

Joint trauma constitutes a substantial proportion of emergency room visits and patients requiring urgent care, imposing considerable financial burdens on society. Diagnostic imaging is essential in the evaluation and treatment of trauma victims. Diagnostic imaging constitutes a complex, multifaceted system, with numerous elements of its workflow susceptible to inefficiencies or human error. Recent advancements in artificial intelligence and machine learning have the potential to transform our medical care delivery systems. This review will offer a comprehensive analysis of the present status of artificial intelligence and machine learning applications in various facets of trauma imaging and propose a vision for how these applications could be utilized to improve diagnostic imaging systems and optimize patient outcomes.