Libraries at University of Nebraska-Lincoln

 

Date of this Version

2021

Abstract

Advances around the field of deep learning and cognitive computing have allowed mankind to look and solve the problems of the world in a completely new way. Deep learning has been making huge advancements in the field of healthcare, which most importantly focuses upon disease detection and disease prediction. Techniques such as these have been conceptualized the idea of early detection and economical ways of treating the predicted disease in particular. Still, it has been observed that there seems to be no change in the way diagnosis of a particular disease takes place even in the 21st generation of medical health care. The highlight of the reasons happens to be lack of trust, lack of awareness and lack of infrastructure. In this paper we will discuss three disease prediction models and the impact their adoption will provide to millions of lives. The diseases are brain tumour, pancreatic cancer and covid-19. This paper focuses upon the impact of how the adoption of deep learning and artificial intelligence will have a huge positive impact and conceptualise a new way of medical imaging. here we have talked about the adoption of deep learning in models in today’s healthcare scenario and also the crucial role of delivering such applications to the user.

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