[1]刘 超,石艳丽,赵 怡.乳腺癌人工智能辅助诊断专利情报研究[J].医学信息,2023,36(05):46-51.[doi:10.3969/j.issn.1006-1959.2023.05.008]
　LIU Chao,SHI Yan-li,ZHAO Yi.Patent Analysis of AI Assisted Diagnosis of Breast Cancer[J].Journal of Medical Information,2023,36(05):46-51.[doi:10.3969/j.issn.1006-1959.2023.05.008]
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乳腺癌人工智能辅助诊断专利情报研究()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
36卷
期数:
2023年05期
页码:
46-51
栏目:
医学数据科学
出版日期:
2023-03-01

文章信息/Info

Title:
Patent Analysis of AI Assisted Diagnosis of Breast Cancer
文章编号:
1006-1959（2023）05-0046-06
作者:
刘 超; 石艳丽; 赵 怡
（国家知识产权局专利局专利审查协作北京中心，北京 100083）
Author(s):
LIU Chao; SHI Yan-li; ZHAO Yi
(Patent Examination CooperationCenter of the Patent Office,CNIPA,Beijing 100083,China)
关键词:
乳腺癌; 人工智能; 辅助诊断; 专利申请人
Keywords:
Breast cancer; Artificial intelligence; Assisted diagnosis; Patent;  applicant
分类号:
R736.3
DOI:
10.3969/j.issn.1006-1959.2023.05.008
文献标志码:
A
摘要:
目的 通过对乳腺癌人工智能辅助诊断专利情报进行分析，为技术研发提供参考。方法 在incoPat数据库中检索乳腺癌人工智能辅助诊断全球专利，阅读专利文献并手动标引，分析全球和中国专利申请趋势、专利申请主要原创国家/地区、重要专利申请人。结果 全球和我国专利申请分别在2015年、2017年开始快速增加；美国申请量占全球总量的43.78%，我国占24.07%，其次为韩国、日本、荷兰、德国；重要申请人包括国外的飞利浦、西门子、Enlitic、IBM和我国的腾讯、联影等。结论 乳腺癌人工智能辅助诊断专利申请量趋势与人工智能算法的发展趋势一致，2015年后全球专利申请量快速增长，预期未来将持续发展。美国和我国技术优势明显。重点申请人包括医疗龙头企业、医学影像公司、计算机企业、新科创企业。重要申请人的成功因素包括在医学影像数据领域的数据优势、先进的人工智能算法、大数据领域的技术优势、与企业、高校、医院的合作以及公司间的并购。
Abstract:
Objective To provide guidance for technology research and development by analyzing patent information of artificial intelligence assisted diagnosis of breast cancer.Methods The global patents of breast cancer artificial intelligence-assisted diagnosis were searched in the incoPat database, and the patent literature was read and manually indexed to analyze the global and Chinese patent application trends, the main original countries / regions of patent applications, and important patent applicants.Results Global and Chinese patent applications began to increase rapidly in 2015 and 2017 respectively. The United States accounted for 43.78% of the global total, China accounted for 24.07%, followed by South Korea, Japan, the Netherlands and Germany. Important applicants includeD Philips, Siemens, Enlitic, IBM, Tencent and United Imaging.Conclusion The trend of number of patent applications is consistent with the development trend of artificial intelligence algorithms. Since 2015, the number of global patent applications has increased rapidly, and it is expected to continue developing in the future. The United States and China have great technological advantages. Important applicants include leading medical enterprises, medical imaging companies, computer enterprises, and new innovative enterprises. Key success factors of the applicants are advantages in the field of medical image data, advanced artificial intelligence algorithms, technical advantages in the field of big data, cooperation with enterprises, universitiesor hospitals, and mergers and acquisitions between companies.

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更新日期/Last Update: 1900-01-01