Abstract:

Objective　According to the statistics of the research projects of artificial intelligence (AI) technology in the field of medical image diagnosis, the research characteristics and direction of medical AI in Guangdong province were analyzed, to provide reference basis for the development planning of medical AI in Guangdong province. Methods　The AI-related items in the novelty search system were analyzed, the research and application of AI technology such as machine learning and deep learning in medical image diagnosis were statistically analyzed, and literature comparison was made. Results　From 2016 to 2022, a total of 50 applications related to medical AI and imaging diagnosis were received. AI researches focused on the application of ultrasound, CT, MRI, and other technologies. The key technologies of AI used were deep learning and machine learning, and some projects used different auxiliary diagnosis systems. Conclusions　Medical imaging diagnosis is an important research direction in medical AI research in Guangdong province. Preliminary progress has been made in the research. Relevant management departments should strengthen their investment and effective guidance in the research of medical AI in imaging diagnosis, attach importance to originality, cultivate interdisciplinary talents who combine medicine and computer engineering, and expand and strengthen the medical AI industry.

Key words:

Artificial intelligence, Imaging diagnostic technology, Auxiliary diagnosis, Technology novelty search

摘要：

目的　根据人工智能（AI）技术在医学影像诊断领域研究的项目进行统计，分析广东省医学AI的研究特点及方向，为医学AI在广东的发展规划提供参考依据。方法　对查新系统中的人工智能相关项目进行分析，对机器学习、深度学习等人工智能技术在医学影像诊断中的研究及应用情况进行统计分析并进行文献对比。结果　在2016年至2022年共接收50项医学AI与影像诊断相关的查新申请。AI研究集中在超声、CT、MRI等技术的应用领域。所采用的AI的关键技术以深度学习、机器学习为主，有些项目采用的是不同的辅助诊断系统。结论　广东省的医学AI研究中，医学影像诊断是其中重要的研究方向。研究取得初步进展。相关管理部门应加强对医学AI在影像诊断中的研究，加大投入并有效引导，重视原创，培养医学与计算机工科人员相结合的交叉人才，将医学人工智能产业做大做强。

关键词:

人工智能, 影像诊断技术, 辅助诊断, 科技查新