Application of Artificial Intelligence in Trauma Diagnosis and Surgical Decision-Making: A Narrative Review

Trauma continues to be a leading cause of morbidity and mortality worldwide. Rapid diagnosis and timely surgical decision-making are critical for improving patient outcomes. In recent years, Artificial Intelligence (AI) has emerged as a promising tool in trauma medicine, offering potential applications in diagnosis, surgical planning, and postoperative care. This narrative review summarizes current AI applications, their limitations, and ethical considerations. Evidence indicates that AI-based tools can enhance diagnostic accuracy, support triage, and assist surgeons in complex decision-making. However, challenges, such as heterogeneous study designs, limited external validation, and potential biases in training data, highlight the need for prospective, multicenter studies and evaluation across diverse patient populations. Additionally, policy development regarding standardized protocols, clinical integration, and ethical oversight is essential to ensure the safe and effective adoption of AI in trauma care. Key words: Artificial intelligence (AI), Machine learning, Prognosis, Surgical procedures, Trauma

کلیدواژه ها:

Artificial intelligence (AI) ، Machine learning ، Prognosis ، Surgical procedures ، Trauma