Challenges and Opportunities for Deep Learning Applications in Industry 4.0

Uses And Challenges of Deep Learning Models for Covid-19 Diagnosis and Prediction

Author(s): Vaishali M. Wadhwa*, Monika Mangla, Rattandeep Aneja, Mukesh Chawla and Achyuth Sarkar

Pp: 67-84 (18)

DOI: 10.2174/9789815036060122010006

* (Excluding Mailing and Handling)


Recent advancements in artificial intelligence and machine learning, specifically in the domain of natural language and computer vision, involve deep neural networks. Deep learning technology is evolving rapidly to enhance the advanced computing power across the globe in every industry. The uses of deep learning technology are becoming more apparent as the amount of available data is increasing enormously. It is being used to solve numerous complicated applications in real life with surprising levels of accuracy. Besides all the benefits, the large-scale deployment of artificial intelligence and deep learning-based models has several associated challenges due to the huge and rapidly changing data and its accessibility to common people. In this study, the authors provide a review of existing deep learning models to study the impact of artificial intelligence on the development of intelligent models in the healthcare sector, specifically in dealing with the SARS-CoV-2 coronavirus. In addition to reviewing the significant developments, the authors also highlight major challenges and open issues.

Keywords: Artificial Intelligence, Covid 19, Deep Learning.

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