ABSTRACT
As the size of the medical data is increasing day by day, the traditional techniques of data analysis are becoming inefficient to provide accurate and valid information on time. Therefore, to overcome the limitations of the traditional techniques, deep understanding and analysis capabilities are required to detect and diagnose the disease in the early stage. In recent years, several artificially intelligent techniques have been developed for the analysis of different diseases, such as cancer, diabetes, Alzheimer’s diseases, and lots more. In this context, deep learning techniques are playing a significant role in analyzing the medical dataset for faster detection and diagnosis of diseases. In this way, these techniques are helping medical research and practitioners working in the healthcare industry. This chapter presents the role of deep learning techniques in the healthcare system. The role of deep learning has been discussed in the analysis and support in clinical decisions and diagnosis of medical images. A tabular detail of the various deep learning techniques applied in the healthcare system has been shown. In the end, we have presented the case study of cancer, diabetes, and Alzheimer’s diseases.
