Objective To evaluate the efficacy and toxicity of the protocol of FOLFOX4 for advanced colorectal cancer. Methods 27 patients received FOLFOX4oxaliplatin 85 mg/m2 as a 2-hour infusion on day 1 and a 2-hour infusion of LV (200 mg?m-2?d-1) followed by a 5-Fu bolus (400 mg?m-2?d-1) and 22-hour infusion (600 mg?m-2?d-1) for 2 consecutive days every 2 weeks. Four courses were carried out with an interval of one month. Results The total effective rate was 44.44 %, CR(3.70 %), PR(40.74 %). Median survival of all patients was 10.0 months. Mean Survival was 11.5 months. One year survival rate was 30.02 %. Median duration of 12 effective patients were 5.3 months. Median survival of effective patients and non-effective was 11.8 and 8.5 months respectively(P

Multiple injuries caused by trauma have high rates of disability and mortality and are difficult to treat, which have a negative impact on the patients, their families and the society. At present, the medical model of trauma treatment is still inadequate, and the treatment of trauma patients faces great challenges. Artificial intelligence (AI) is an intelligent technology based on machine learning, reinforcement learning and deep learning algorithm, and it has been applied to the treatment of patients with trauma. Its efficient and accurate computer vision, planning and decision-making, and big data statistical analysis not only improve the safety and efficiency in the treatment of trauma, but also reduce the workload of clinicians, which makes up for the deficiency of the traditional model of trauma care. After screening the recent studies of AI in trauma care, the authors review its application in emergency triage, diagnosis, treatment and prevention of war trauma, in order to introduce the latest research progress of AI in trauma care and provide references for future developments.