Artificial Intelligence in Healthcare and COVID-19 (eBook, ePUB)

Redaktion: Chatterjee, Parag; Esposito, Massimo

• Format: ePub

Produktbeschreibung

Artificial Intelligence in Healthcare and COVID-19 showcases theoretical concepts and implementational and research perspectives surrounding AI. The book addresses both medical and technological visions, making it even more applied. With the advent of COVID-19, it is obvious that leading universities and medical schools must include these topics and case studies in their usual courses of health informatics to keep up with the pace of technological and medical advancements. This book will also serve professors teaching courses and industry practitioners and professionals working in the R&D team of leading medical and informatics companies who want to embrace AI and eHealth to fight COVID-19.

Since AI in healthcare is a comparatively new field, there exists a vacuum of literature in this field, especially when applied to COVID-19. With the area of AI in COVID-19 being quite young, students and researchers usually face a struggle to rely on the few published papers (which are obviously too specific) or whitepapers by tech-giants (which are too wide).

• Discusses the fundamentals and theoretical concepts of applying AI in healthcare pertaining to COVID-19
• Provides a landscape view to the applied aspect of AI in healthcare related COVID-19 through case studies and innovative applications
• Discusses key concerns and challenges in the field of AI in eHealth during the pandemic, along with other allied fields like IoT, creating a broad platform of transdisciplinary discussion

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 224
• Erscheinungstermin: 21. Mai 2023
• Englisch
• ISBN-13: 9780323905732
• Artikelnr.: 68113989

Inhaltsangabe

1. Introduction 2. Technological solutions regarding mental health of frontline healthcare workers during COVID
19 pandemic using artifical intelligence 3. Effective algorithms for solving statistical problems posed by the COVID
19 andemic 4. Artifical intelligence to analyse pharmaceutical interventions for COVID
19 5. Covid
19: artificial intelligence solutions, prediction with country cluster analysis and time series forecasting 6. Graph convolutional networks for pain detection via telehealth 7. The role of social media in the battle against COVID
19 8. De
identification techniques to preserve privacy in medical record 9. Estimation of COVID
19 fatality associated to different SARS
CoV
2 variants 10. Artificial intelligence for segmenting CT chest imaging in the fight of COVID
19