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。
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 medi⁃cal images,multi⁃omics information and electronic health records.Artificial intelligence(AI),particularly ma⁃chine 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.
作者
王煜坤
刘洁
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)
出处
《罕见病研究》
2023年第2期157-163,共7页
Journal of Rare Diseases
基金
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)。
关键词
人工智能
深度学习
卷积神经网络
皮肤罕见病
artificial intelligence
deep learning
convolutional neutral network
rare skin diseases