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Establishing the means to improve performance in healthy, clinical,
and military populations has long been a focus of study in the
psychological and brain sciences. However, a major obstacle to this
goal is generating individualized performance phenotypes that allow
for the design of interventions that are tailored to the specific
needs of the individual. Recent developments in artificial
intelligence (AI) have qualified for the development of precision
approaches that consider individual differences, allowing, for
example, the establishment of individualized training, preparation,
and recuperation programs optimal for an individual's cognitive and
biological phenotype. Corollary developments in AI have proven that
combining domain expertise and stakeholder insights can
considerably improve AI's quality, performance, and dependability
in the psychology and brain sciences. Recent Developments in
Machine and Human Intelligence studies original empirical work,
literature reviews, and methodological papers that establish and
validate precision AI methods for human performance optimization
with a focus on modeling individual differences via
state-of-the-art computational methods and investigating how domain
expertise and human judgment can improve the performance of AI
methods. The topics are crafted in such a way as to cover all the
areas of artificial and human intelligence that require AI for
further development. This book contains algorithms and techniques
that are explained with the help of developed source code and
encompasses the readiness and needs for advancements in managing
yet another pandemic in the future. It is designed for
academicians, scientists, research scholars, professors, graduates,
undergraduates, and students.
This book contains multidisciplinary advancements in healthcare and
technology through artificial intelligence (AI). The topics are
crafted in such a way to cover all the areas of healthcare that
require AI for further development. Some of the topics that contain
algorithms and techniques are explained with the help of source
code developed by the chapter contributors. The book covers the
advancements in AI and healthcare from the Covid 19 pandemic and
also analyzes the readiness and need for advancements in managing
yet another pandemic in the future. Most of the technologies
addressed in this book are added with a concept of encapsulation to
obtain a cookbook for anyone who needs to reskill or upskill
themselves in order to contribute to an advancement in the field.
This book benefits students, professionals, and anyone from any
background to learn about digital disruptions in healthcare.
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