Advances and challenges of AI technologies of healthcare in the era of large model
10.3969/j.issn.1672-8270.2024.06.036
- VernacularTitle:大模型时代下的医疗人工智能技术进展与挑战
- Author:
Yifan ZHANG
1
;
Zerui ZHANG
;
Jing DONG
;
Hao WANG
;
Haiping REN
Author Information
1. 中国医疗器械有限公司 北京 100028
- Keywords:
Artificial Intelligence;
Medical Devices;
Medical Data;
Large Language Model
- From:
China Medical Equipment
2024;21(6):189-194
- CountryChina
- Language:Chinese
-
Abstract:
The combination of Artificial Intelligence(AI)and medical applications has derived a large number of uses and scenarios,which has engaged and changed the healthcare industry from multiple dimensions,such as diagnosis and treatment processes,data fusion,and empowered medical devices,etc.AI large model is a machine learning model based on huge parameter scales and complexity,with a high degree of accuracy and extensive generalization capabilities.In facing the problems such as rapid growth of the data in medical scenarios,data multimodality,large and complex knowledge graphs,AI large model connects the medical processes such as diagnosis,decision-making,treatment and management by series connection,which further broadens and extends the space of AI's medical applications,which will highly utilizes medical data.In view that,we summarized the typical application scenarios of conventional AI and large models in the application of medical field,and discussed the problems of large models in data governance,modal fusion and credibility,so as to promote the landing and application of the combination of large models and medical treatment.
