Trends of Artificial Intelligence and Big Data for E-Health

This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision-making and data analysis in various fields. It will include topics such as AIoT, XAI, distributed learning, BIOT, cybersecurity, and IoTs. Intelligent Health has the potential to monitor patients at risk and track their progress during therapy, but challenges exist due to legal and ethical concerns. Privacy and data security, establishing protocols, appropriate governance, and improving technologies are crucial priorities for Digital Transformation in Healthcare.

Format: Hardback
Length: 251 pages
Publication date: 03 January 2023
Publisher: Springer International Publishing AG

The impact of artificial intelligence (AI) and big data in healthcare is profound, revolutionizing medical decision-making and data analysis across a wide range of fields. This includes areas such as radiology, radiomics, radiogenomics, oncology, pharmacology, COVID-19 prognosis, cardiac imaging, neuroradiology, psychiatry, and more. AIoT, XAI, distributed learning, BIOT, cybersecurity, and IoTs are just a few of the emerging technologies that are shaping the future of healthcare.

Healthcare providers are now able to leverage big data analytics and AI as powerful methodologies for accurate analysis of their clinical data repositories and clinical decision support. The ability to recognize patterns and transform large amounts of data into valuable information for precision medicine empowers healthcare professionals to achieve their goals.

Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. However, there are significant challenges associated with the use of these technologies, primarily related to legal and ethical concerns about using medical data and adequately representing and servicing diverse patient populations.

One of the most significant benefits of intelligent health is its ability to make health systems more sustainable and standardized. This includes improving privacy and data security, establishing protocols for appropriate governance, and advancing technologies to enhance the delivery of healthcare services.

Digital transformation in healthcare is a crucial priority, and it will require a comprehensive approach to address the various challenges and opportunities presented by AI and big data. By embracing these technologies and implementing effective strategies, healthcare providers can improve patient outcomes, reduce costs, and enhance the overall efficiency of healthcare systems.

Weight: 565g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031111983
Edition number: 1st ed. 2022