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Artificial Intelligence in Healthcare: Perspectives from Post-Pandemic Times
Smart Distributed Embedded Systems for Healthcare Applications ; : 119-128, 2023.
Article in English | Scopus | ID: covidwho-20242193
ABSTRACT
The ongoing global pandemic has been unprecedented in every aspect of human activities. Even though the uncompromising hard work and dedication of healthcare workers have managed to evade the best part of the first and second waves of the rampaging disaster, the deadly event might resurge with a potential third wave. Children will be the prime victims in that case as most of these age groups are non-vaccinated. However, among all the negative vibes, some of the things during the pandemic have transformed the global mindset. Undoubtedly, the worst victim is the healthcare sector alongside the economy. The introduction of artificial intelligence (AI) algorithms has given the much-needed impetus to the healthcare sector with a variety of innovative means. These new technological innovations have significantly alleviated the burden from the shoulders of front-line workers and added an extra weapon to their repertoire for combatting the Covid-19 infection. AI algorithms have influenced several areas of healthcare set-up during the pandemic including diagnosis of the disease, monitoring of patients, selection of candidate drugs, and even in Covid-19 vaccine development. It is critical, therefore, to best utilize the AI algorithms, machine learning techniques and associated aids in healthcare sectors in the post-pandemic times to revitalize the medical set-up. © 2023 selection and editorial matter, Preeti Nagrath, Jafar A. Alzubi, Bhawna Singla, Joel J. P. C. Rodrigues and A. K. Verma;individual chapters, the contributors.

Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Randomized controlled trials Topics: Vaccines Language: English Journal: Smart Distributed Embedded Systems for Healthcare Applications Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Randomized controlled trials Topics: Vaccines Language: English Journal: Smart Distributed Embedded Systems for Healthcare Applications Year: 2023 Document Type: Article