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>
>>>