Application and research progress of artificial intelligence technology in trauma treatment.
10.7507/1002-1892.202308003
- Author:
Heng ZHANG
1
;
Xiaodong MA
1
;
Jiaqin WANG
2
;
Jianzhong GUAN
1
;
Kuanxin LI
1
;
Jianning ZHAO
3
;
Jiansheng ZHOU
1
Author Information
1. Department of Orthopedics, Laboratory of Tissue and Transplant in Anhui Province, the First Affiliated Hospital of Bengbu Medical College, Bengbu Anhui, 233004, P. R. China.
2. School of Life Sciences, Bengbu Medical College, Bengbu Anhui, 233030, P. R. China.
3. Department of Orthopedics, Jinling Hospital, School of Medicine, Nanjing University, Nanjing Jiangsu, 210002, P. R. China.
- Publication Type:Review
- Keywords:
Artificial intelligence;
machine learning;
prediction model;
surgical robot;
trauma treatment
- MeSH:
Humans;
Artificial Intelligence;
Operative Time;
Robotic Surgical Procedures;
Technology
- From:
Chinese Journal of Reparative and Reconstructive Surgery
2023;37(11):1431-1437
- CountryChina
- Language: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.
