Artificial intelligence-driven predictive analytics for postoperative management and recovery in trauma patients

Artificial intelligence is not merely a monitoring tool but a driver of precision medicine in trauma. By leveraging diverse modalities, from computer vision in radiology to natural language processing in electronic health records, clinicians can now anticipate adverse events. To bridge the gap between algorithm and bedside, future efforts must focus on overcoming significant implementation barriers, such as data interoperability, and ensuring model generalizability.