Artificial intelligence applied to development of predictive stability model for intracranial aneurysms
The predictive stability models of IA based on three artificial intelligence methods shows good clinical application. Age, WBC and UA played an important role in predicting the IA stability, and were potentially important predictors.
Authors
- Mengdie Hu
- Li Shen (ORCID: https://orcid.org/0000-0001-9204-1114)
- Chun Zhang (ORCID: https://orcid.org/0000-0001-9791-4500)
- Xinyue Dong (ORCID: https://orcid.org/0000-0001-6674-5353)
- Heng Zhao (ORCID: https://orcid.org/0000-0003-0242-7609)
- Wei Wei (ORCID: https://orcid.org/0000-0003-2754-3948)
- Xin Chen (ORCID: https://orcid.org/0000-0003-1950-2468)
- Luzhu Jia
- Hui Shi (ORCID: https://orcid.org/0000-0002-4670-3217)
- Junmin Tao
- Meiying Song
Institutions
- Dalian Medical University (CN)
- Dalian University of Technology (CN)
- Dalian Municipal Central Hospital (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1186/s40001-024-02101-1
- Citations
- 1
- Primary Topic
- Intracranial Aneurysms: Treatment and Complications
- Type
- article
- Field-Weighted Citation Impact
- 0.37
Funders
- Department of Education of Liaoning Province
- Scientific Research Fund of Liaoning Provincial Education Department
- Dalian Science and Technology Innovation Fund