Call for Book Chapters for the Springer Book on Intelligent Technologies for Healthcare Business Applications - Deadline Extended

>>>> *Call for Book Chapters for the Springer-Verlag Handbook:***
>>>>
>>>> *“Intelligent Technologies for Healthcare Business Applications”***
>>>>
>>>> * (Indexed by Scopus)*
>>>>
>>>> */Editors/*
>>>>
>>>> *Athina Bourdena, Hellenic Mediterranean University, Greece*
>>>>
>>>> *Constandinos X. Mavromoustakis, University of Nicosia, Cyprus*
>>>>
>>>> *Evangelos K. Markakis, Hellenic Mediterranean University, Greece*
>>>>
>>>> *George Mastorakis, Hellenic Mediterranean University, Greece*
>>>>
>>>> *Evangelos Pallis, University of West Attica, Greece*
>>>>
>>>> **
>>>>
>>>> The healthcare industry has long been at the forefront of 
>>>> innovation and technological advancement, and intelligent 
>>>> technologies have the potential to revolutionize the way healthcare 
>>>> businesses operate. From improving patient outcomes to streamlining 
>>>> administrative processes, intelligent technologies can offer a 
>>>> range of benefits to healthcare businesses. One of the most 
>>>> promising areas for intelligent technologies in healthcare is in 
>>>> the field of predictive analytics. Predictive analytics uses data 
>>>> mining, machine learning, and other advanced analytics techniques 
>>>> to identify patterns and relationships in large data sets. By 
>>>> analyzing patient data, healthcare businesses can identify trends 
>>>> and risk factors that can help them to predict and prevent health 
>>>> problems before they occur. For example, predictive analytics can 
>>>> be used to identify patients who are at high risk of developing a 
>>>> particular disease or condition, and to provide targeted 
>>>> interventions to prevent the condition from developing. Another 
>>>> promising area for intelligent technologies in healthcare is in the 
>>>> field of telehealth (telemedicine). Telehealth allows healthcare 
>>>> professionals to provide remote care to patients, using video 
>>>> conferencing, remote monitoring devices, and other technologies. 
>>>> Telehealth can help to improve access to healthcare, particularly 
>>>> for patients in rural or remote areas, and can also help to reduce 
>>>> healthcare costs by minimizing the need for in-person visits. 
>>>> Intelligent technologies such as machine learning and natural 
>>>> language processing can be used to analyze patient data collected 
>>>> through telehealth visits, and to provide personalized 
>>>> recommendations for care.
>>>>
>>>> Intelligent technologies can also be used to improve the efficiency 
>>>> of administrative processes in healthcare businesses. For example, 
>>>> machine learning algorithms can be used to analyze patient data and 
>>>> identify patterns that can help to optimize scheduling and resource 
>>>> allocation. Similarly, natural language processing can be used to 
>>>> automate the processing of medical records and other administrative 
>>>> documents, freeing up healthcare professionals to focus on patient 
>>>> care. One of the most exciting areas for intelligent technologies 
>>>> in healthcare is in the development of personalized medicine. 
>>>> Personalized medicine uses data analytics and other advanced 
>>>> technologies to identify the unique characteristics of individual 
>>>> patients, and to tailor treatment plans to their specific needs. 
>>>> For example, genetic data can be used to identify patients who are 
>>>> at high risk of developing certain diseases, and to provide 
>>>> personalized interventions to prevent or treat those conditions. 
>>>> However, there are also some challenges and concerns associated 
>>>> with the use of intelligent technologies in healthcare. One of the 
>>>> biggest concerns is around data privacy and security. Healthcare 
>>>> businesses need to ensure that patient data is kept secure and 
>>>> confidential, and that it is only used for legitimate purposes. 
>>>> They also need to ensure that their employees are trained to use 
>>>> intelligent technologies safely and ethically, and that they 
>>>> understand the potential risks and limitations of these 
>>>> technologies. In a general context, intelligent technologies have 
>>>> the potential to transform the healthcare industry, offering a 
>>>> range of benefits from improved patient outcomes to streamlined 
>>>> administrative processes. However, healthcare businesses need to be 
>>>> aware of the challenges and concerns associated with the use of 
>>>> these technologies, and to take steps to ensure that they are used 
>>>> safely and ethically. By doing so, they can unlock the full 
>>>> potential of intelligent technologies to improve healthcare 
>>>> outcomes for patients around the world.
>>>>
>>>> Sections of interest include but are /_not limited_/ to:
>>>>
>>>> /Section I — Introduction of AI and healthcare/
>>>>
>>>> /Section II — Architectures and intelligent systems for AI and 
>>>> healthcare convergence/
>>>>
>>>> /Section III— IoT with Machine Learning and Artificial System 
>>>> technologies/
>>>>
>>>> /Section IV— AI and 6G mobile systems/
>>>>
>>>> /Section V— AI enabled healthcare systems/
>>>>
>>>> /Section VI— Performance Evaluation of Deep Learning and 
>>>> IoT-related mechanisms/
>>>>
>>>> /We strongly welcome _other topic suggestions_//./
>>>>
>>>>
>>>>     _Schedule & Deadlines_
>>>>
>>>> ·*_15^th September 2023_**(Deadline extended)*
>>>> Full chapter submission via e-mail: gmastorakis@hmu.gr 
>>>> <mailto:gmastorakis@hmu.gr>
>>>>
>>>> ·*_15^th October 2023_*
>>>> Review comments
>>>>
>>>> ·*_31^st October 2023_*
>>>> Submission of the revised version
>>>>
>>>> ·*_30^th November 2023 _*
>>>> Final acceptance notification
>>>>
>>>> ·*_31^st December 2023_**__*
>>>> Final manuscript
>>>>
>>>>
>>>>     _Manuscript Preparation_
>>>>
>>>>   * Please follow the manuscript formatting guidelines below and
>>>>     submit the original version (in */Microsoft word/*) and or
>>>>     */LaTex/* format as per the guidelines
>>>>     (URL:https://www.springer.com/us/authors-editors/book-authors-editors/your-publication-journey/manuscript-preparation).
>>>>   * Each final manuscript should be about 25-35 pages long
>>>>     (formatted). Depending on the number of submissions, longer
>>>>     manuscripts will also be accepted.
>>>>   * Submit your chapter(s) via e-mail: gmastorakis@hmu.gr
>>>>     <mailto:gmastorakis@hmu.gr>
>>>>