Abstract
Since the pandemic began, the attention of the entire world has turned to the digital health environment to provide potential health options to minimize the effects of this pandemic in this moment of unparalleled medical crisis. Paper presents the survey on the role of Artificial Intelligence in decision support systems to diagnose COVID-19 and we are presenting the Artificial Intelligence (AI) model for Decision Support System (DSS), Challenges faced during earlier pandemic due to lack of faster and efficient methods of diagnosis and Opportunities and Challenges of Clinical Decision Support System (CDSS). A three-dimensional deep learning system, called COVID-19 Neural Network detection (COVNet), is developed to detect COVID-19 based on CT images of the chest. We have seen that Decision support system using AI in Healthcare that is termed as Clinical decision support system is a very helpful, fast and advanced technique because during pandemics like COVID-19 the cases are increasing exponentially day by day so it’s not possible to diagnose each patient manually.
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Patni, J.C. et al. (2022). COVID-19 Pandemic Diagnosis and Analysis Using Clinical Decision Support Systems. In: Tavares, J.M.R.S., Dutta, P., Dutta, S., Samanta, D. (eds) Cyber Intelligence and Information Retrieval. Lecture Notes in Networks and Systems, vol 291. Springer, Singapore. https://doi.org/10.1007/978-981-16-4284-5_23
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DOI: https://doi.org/10.1007/978-981-16-4284-5_23
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