[Application and research progress of artificial intelligence technology in trauma treatment]

Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi. 2023 Nov 15;37(11):1431-1437. doi: 10.7507/1002-1892.202308003.
[Article in Chinese]

Abstract

Objective: To review the application and research progress of artificial intelligence (AI) technology in trauma treatment.

Methods: The recent research literature on the application of AI and related technologies in trauma treatment was reviewed and summarized in terms of prehospital assistance, in-hospital emergency care, and post-traumatic stress disorder risk regression prediction, meanwhile, the development trend of AI technology in trauma treatment were outlooked.

Results: The AI technology can rapidly analyze and manage large amount of clinical data to help doctors identify patients' situation of trauma and predict the risk of possible complications more accurately. The application of AI technology in surgical assistance and robotic operations can achieve precise surgical plan and treatment, reduce surgical risks, and shorten the operation time, so as to improve the efficiency and long-term effectiveness of the trauma treatment.

Conclusion: There is a promising future for the application of AI technology in the trauma treatment. However, it is still in the stage of exploration and development, and there are many difficulties of historical data bias, application condition limitations, as well as ethical and moral issues need to be solved.

目的: 综述人工智能(artificial intelligence,AI)技术在创伤救治中的应用与研究进展。.

方法: 回顾近年有关AI及相关技术用于创伤救治的研究文献,从院前援助、院内急救、创伤后应激障碍风险转归预测方面对应用现状进行总结,展望AI技术在创伤救治应用中的发展趋势。.

结果: AI技术可以对大量临床数据进行快速分析和处理,帮助医生更准确地判断创伤患者病情,预测可能的并发症风险。AI技术应用于手术辅助和机器人手术,可以实现精确的手术规划和操作,减少患者手术风险,缩短手术时间,以提高创伤救治应用的效率和远期效果。.

结论: AI技术在创伤救治中具有广泛应用前景,但是目前尚处于探索和发展阶段,仍存在历史数据偏差、应用条件限制、伦理和道德问题有待解决。.

Keywords: Artificial intelligence; machine learning; prediction model; surgical robot; trauma treatment.

Publication types

  • English Abstract
  • Review

MeSH terms

  • Artificial Intelligence*
  • Humans
  • Operative Time
  • Robotic Surgical Procedures*
  • Technology