Integrated application of blockchain and artificial intelligence technology in the diagnosis and treatment of orthopedic trauma: a review
10.3760/cma.j.cn501098-20240501-00324
- VernacularTitle:区块链与人工智能技术在创伤骨科诊疗中融合应用的研究进展
- Author:
Yi XIE
1
;
Jiayao ZHANG
;
Zhiwei HAO
;
Yijie KUANG
;
Honglin WANG
;
Jiaming YANG
;
Pengran LIU
;
Zhewei YE
Author Information
1. 华中科技大学同济医学院附属协和医院骨科，智能医学研究室，武汉 430022
- Publication Type:Journal Article
- Keywords:
Bone diseases;
Medical informatics computing;
Artificial intelligence;
Database management systems;
Blockchain
- From:
Chinese Journal of Trauma
2024;40(12):1145-1152
- CountryChina
- Language:Chinese
-
Abstract:
The incidence of orthopedic trauma-related diseases keeps rising annually, which brings an urgent need to optimize the diagnostic and treatment processes to enhance treatment efficiency and improve patients′ prognosis. Traditional diagnostic methods in traumatic orthopedics primarily rely on manual film interpretation and classification, resulting in a substantial workload for physicians and consequently a low efficiency. Furthermore, during multidisciplinary consultations and cross-hospital referrals for patients with orthopedic trauma, accessing medical records and facilitating information exchange can be challenging, leading to delays in surgical intervention. The rapid advancement of artificial intelligence (AI) technology, characterized by feature engineering, artificial neural networks, and deep learning, has transformed the landscape of rapid diagnosis and precision treatment for orthopedic trauma. Nonetheless, centralized storage during task training poses risks of privacy disclosure and security concerns that impede the widespread application of AI models. In contrast, the decentralized nature of blockchain technology offers a secure operational environment for AI-driven diagnostics and treatments and the integration of blockchain and AI can deliver more accurate, efficient, and safe services for patients with orthopedic trauma. Currently, challenges remain in the inter-institutional sharing of data, constant phenomenon of data silos and absence of standardized protocols for developing collaborative models in clinical settings. To address these challenges, the authors reviewed the research advancements in integrated application of blockchain technology and artificial intelligence in diagnosing and treating orthopedic trauma, aiming to provide insights into the development of a digital diagnostic system tailored to this field in China.
