Application progress of deep learning in medicine
10.3760/cma.j.cn114452-20240626-00330
- VernacularTitle:深度学习在医学中的应用进展
- Author:
Yi SHI
1
;
Haonan SHI
1
;
Hanjia YE
1
;
Dechuan ZHAN
1
Author Information
1. 南京大学人工智能学院 南京大学计算机软件新技术国家重点实验室，南京 210046
- Publication Type:Journal Article
- Keywords:
Deep learning;
Neural networks;
Medical applications
- From:
Chinese Journal of Laboratory Medicine
2025;48(2):292-296
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, advancements in big data availability and computer computing power have driven significant progress in deep learning, particularly in image recognition, speech recognition, and natural language processing. These new developments have also provided new directions for the development of medicine, such as intelligent medical consultation, personalized diagnosis and treatment plan planning, medical image-assisted interpretation, etc. However, deep learning faces challenges such as weak reusability and insufficient interpretability in specific applications. This article reviews the development history of deep learning and some of its latest developments in the field of medicine, and examines some of its problems in medical applications.
