Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence.
10.3760/cma.j.cn121430-20250127-00093
- Author:
Wanjie YANG
1
;
Hao FU
2
;
Xiangfei MENG
2
;
Changsong LI
2
;
Ce YU
3
;
Xinting ZHAO
2
;
Weifeng LI
4
;
Wei ZHAO
2
;
Qi WU
5
;
Zheng CHEN
1
;
Chao CUI
1
;
Song GAO
1
;
Zhen WAN
6
;
Jing HAN
7
;
Weikang ZHAO
6
;
Dong HAN
8
;
Zhongzhuo JIANG
9
;
Weirong XING
10
;
Mou YANG
11
;
Xuan MIAO
12
;
Haibai SUN
13
;
Zhiheng XING
14
,
15
;
Junquan ZHANG
10
;
Lixia SHI
7
;
Li ZHANG
9
Author Information
1. Haihe Hospital, Tianjin University, Tianjin 300350, China.
2. National Super computer Center in Tianjin, Tianjin 300457, China.
3. College of Intelligence and Computing, Tianjin University, Tianjin 300072, China.
4. Office of Development of Medical Disciplines, Tianjin University, Tianjin 300072, China.
5. Tianjin Medical University General Hospital, Tianjin 300052, China.
6. Department of Information, Haihe Hospital, Tianjin University, Tianjin 300350, China.
7. Department of Medical Administration, Haihe Hospital, Tianjin University, Tianjin 300350, China.
8. Department of Thoracic Surgery, Haihe Hospital, Tianjin University, Tianjin 300350, China.
9. Outpatient Office, Haihe Hospital, Tianjin University, Tianjin 300350, China.
10. Department of Medical Records, Haihe Hospital, Tianjin University, Tianjin 300350, China.
11. Tianjin Yunshan Road School, Tianjin 300450, China.
12. Department of Basic Medicine, Haihe Hospital, Tianjin University, Tianjin 300350, China.
13. Department of Clinical Laboratory, Haihe Hospital, Tianjin University, Tianjin 300350, China.
14. Department of Radiology, Haihe Hospital, Tianjin University, Tianjin 300350, China. Corresponding author: Yang Wanjie, Email: yangwanjie0709@
15. com.
- Publication Type:Journal Article
- MeSH:
Artificial Intelligence;
Humans;
Delivery of Health Care;
Generative Artificial Intelligence
- From:
Chinese Critical Care Medicine
2025;37(5):477-483
- CountryChina
- Language:Chinese
-
Abstract:
The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
