人工智能助力皮肤罕见病诊疗

王煜坤; 刘洁

doi:10.12376/j.issn.2097-0501.2023.02.003

人工智能助力皮肤罕见病诊疗

doi: 10.12376/j.issn.2097-0501.2023.02.003

王煜坤,
刘洁^,

中国医学科学院北京协和医院皮肤科疑难重症及罕见病国家重点实验室国家皮肤与免疫疾病临床医学研究中心，北京 100730

基金项目:

中央高水平医院临床科研业务费 2022-PUMCH-B-092

国家自然科学基金 82173449

北京市自然科学基金 7232114

中国医学科学院医学与健康科技创新工程 2022-I2M-C&T-A-007

详细信息

通信作者:
刘洁，E-mail: Liujie04672@pumch.cn

中图分类号: R-1;R44;R75
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- 文章访问数: 54
- HTML全文浏览量: 14
- PDF下载量: 7
- 被引次数: 0
出版历程
- 收稿日期: 2022-12-27
- 录用日期: 2023-02-02
- 网络出版日期: 2023-05-05

Artificial Intelligence Applications in Rare Skin Diseases

WANG Yukun,
LIU Jie^,

Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, National Clinical Research Center for Dermatologic and Immunologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

Funding:

National High Level Hospital Clinical Research Funding 2022-PUMCH-B-092

National Natural Science Foundation 82173449

Beijing Natural Science Foundation 7232114

Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences 2022-I2M-C&T-A-007

More Information

Corresponding author: LIU Jie, E-mail: Liujie04672@pumch.cn

摘要

摘要: 在临床实践中，皮肤罕见病的早期诊断、准确评估和有效治疗均存在一定困难。随着大数据时代的到来，图像数据、多组学数据及电子病历等生物医疗数据呈指数级增长，以机器学习为代表的人工智能(AI)在处理大量复杂信息中极具优势，已有研究将AI引入到皮肤罕见病的辅助诊疗中。本文分别对基于图像数据、多组学数据和文本数据的AI在辅助皮肤罕见病诊疗及AI辅助皮肤罕见病药物探索等方面的研究进行了简述、探讨和展望，以期提高皮肤科医师对该领域的认识并积极推动皮肤罕见病人工智能研究发展。
- 人工智能 /
- 深度学习 /
- 卷积神经网络 /
- 皮肤罕见病
Abstract: In clinical practice, early diagnosis, accurate assessment and effective management of rare skin diseases are difficult. The Big Data gives rise to the exponential growth of biomedical data, including medical images, multi-omics information and electronic health records. Artificial intelligence (AI), particularly machine learning, has its advantage in processing complex and abundant information. Researches have applied AI in the field of rare skin diseases. In this paper, we briefly describe, discuss, and foresee the research on AI based image data, multi-omics data & text data and AI in assisting rare skin disease drug development, in order to improve the awareness of dermatologist understanding of this field and actively promote the development of AI usage on rare skin diseases.
- artificial intelligence /
- deep learning /
- convolutional neutral network /
- rare skin diseases
注释:

作者贡献：刘洁负责文章选题、审稿和指导；王煜坤负责文献检索、文章撰写和修订。

利益冲突：所有作者均声明不存在利益冲突。

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