Trends of Artificial Intelligence and Big Data for E-Health

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Format : Publisher PDF

File Size : 6.6 MB

Category: Public Health Books

Description

Trends of Artificial Intelligence and Big Data for E-Health

by Houneida Sakly (Author)

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 Things (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 a 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.

Product Details

Publisher: Springer International Publishing; January 1, 2023
Language: English
ISBN: 9783031111983
ISBN: 9783031111990

Artificial Intelligence (AI) and Big Data are revolutionizing the healthcare industry, enabling medical professionals to make more informed decisions and analyze vast amounts of data in various fields. In the book “Artificial Intelligence and Big Data in Healthcare: Medical Decision Making and Data Analysis,” author Houneida Sakly explores the profound impact of AI and Big Data in healthcare and its applications in disciplines such as Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry, and more.

The book delves into cutting-edge topics including Artificial Intelligence of Things (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs). Readers will gain insights into how these technologies can be leveraged to make accurate analyses based on clinical data repositories and clinical decision support systems. By recognizing patterns and transforming extensive datasets into actionable information, healthcare professionals can enhance precision medicine and achieve improved patient outcomes.

One of the significant advantages of Intelligent Health, made possible through AI and Big Data, is its potential to monitor patients with underlying conditions and track their progress during therapy. However, the implementation of these technologies also presents various challenges, including legal and ethical concerns surrounding medical data usage and the need to represent and serve diverse patient populations adequately. The book addresses these challenges and offers insights into making health systems more sustainable and standardized through AI and Big Data. It highlights the importance of privacy and data security, establishing protocols, appropriate governance, and continuous improvement of technologies in digital transformation efforts for the healthcare sector.

For healthcare providers, this book is a valuable resource for understanding how to harness the power of Big Data analytics and AI in their clinical practice. It provides practical guidance on leveraging clinical data repositories and clinical decision support systems to improve patient care and outcomes. By embracing AI and Big Data methodologies, healthcare professionals can unlock new possibilities for precision medicine and personalized healthcare.

Ordering this book not only provides access to expert insights and knowledge in the field of AI and Big Data in healthcare but also equips healthcare professionals with the tools and knowledge to navigate the evolving landscape of digital healthcare. By staying informed and up-to-date with the latest advancements in AI and Big Data, healthcare providers can stay ahead of the curve and deliver better care to their patients.

In conclusion, “Artificial Intelligence and Big Data in Healthcare: Medical Decision Making and Data Analysis” by Houneida Sakly is a must-read for healthcare professionals seeking to harness the power of AI and Big Data in their practice. With its comprehensive coverage of topics and practical guidance, the book serves as a roadmap for healthcare providers looking to leverage these cutting-edge technologies to improve patient outcomes and enhance the quality of healthcare delivery. Order your copy today and embark on a journey towards the future of healthcare.