Applications of Deep Learning in Medicine

In the current era, with the development of artificial intelligence, deep learning is an essential branch of it. This paper aims to discuss the development history, application status and development prospect of DL model based on deep learning in medical field. Firstly, the advantages of deep learning are powerful data processing capabilities, improved disease prediction accuracy, and the ability to predict disease risk, which contribute to the development of personalized medicine. Deep learning is an attempt to simulate the working principle of the human brain. By training a large amount of data, it automatically learns the complex patterns and structures in the data, and finally realizes the task. By analyzing the examples of deep learning in clinical medicine and its application in medicine. This paper proposes that AI and DL models can help improve the quality of medical services. This paper also suggests that in the future, the unique automation and efficient data processing of deep learning algorithms can be used to improve diagnostic accuracy and speed, and promote the development of precision medicine.