img Leseprobe Leseprobe

Trends of Artificial Intelligence and Big Data for E-Health

Moncef Tagina (Hrsg.), Safwan Halabi (Hrsg.), Jayne Seekins (Hrsg.), Kristen Yeom (Hrsg.), Houneida Sakly (Hrsg.), Mourad Said (Hrsg.)

PDF
ca. 96,29
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Nichtklinische Fächer

Beschreibung

This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs).
 
Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives.
 
Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare.

Weitere Titel in dieser Kategorie
Cover Powerful
Hill Maisie Hill
Cover Prostate Cancer
Jovan Hadzi-Djokic
Cover Kinesis
Mac Erlaine Donal Mac Erlaine
Cover Circular RNAs
Christoph Dieterich
Cover Essential Pharmaceutics
Daniel Moraga-Espinoza

Kundenbewertungen

Schlagwörter

Digital Health, Healthcare Business Technology, Big Data, Data Science, Assisted-software, Deep Learning, Medical Augmented Reality, Cybersecurity in Healthcare, Data analysis, Machine Learning, Predictive and Personalised Medicine, Artificial Intelligence