Healthcare Techniques Through Deep Learning: Issues, Challenges and Opportunities

In artificial intelligence, deep learning (DL) is a process that replicates the working mechanism of human brain in data processing, and it also creates patterns for decision making. Deep or neural networks have been deployed several fields, such as computer vision, natural language speech recognition. It has used many healthcare applications diagnosis treatment chronic diseases. These algorithms power to avoid outbreaks illness, recognize diagnose illnesses, minimize running expenses hospital management patients. This paper discusses methods different i.e., identifying depression, heart diseases, physiological signals, lymph node metastases from breast cancer, etc. diseases are categorized into central nervous system, cardiovascular respiratory system. For each category, after summarizing studies, comparison tables laid down using some important factors. Different applications, tools, methods, sets DL models leveraged. Finally, research opportunities challenges being faced discussed.