The explosion of technology in healthcare in recent years has
rapidly changed the healthcare sector. Technologies such as
artificial intelligence and machine learning along with the
integration of the Internet of Medical Things (IoMT) have evolved
to tackle the need for remote healthcare systems, augmenting them
in a self-sustainable way. This new volume explores computational
tactics as applied to the development of biomedical applications,
using artificial intelligence, machine learning, signal analysis,
computer-aided design, robotics and automation, biomedical imaging,
telemedicine, and other technologies. The book aims to provide a
solid framework to provide the modern class of medical gearheads
with information on the innovative applications of computational
mechanisms for improving and expediting patient-friendly automation
in healthcare. The volume provides an overview of the advancements
in modern technology for diagnosing major life-threatening
diseases, including using photonic MEMS sensors, biomedical signal
processing, 1D photonic crystal-based distributed Bragg reflectors
(DBRs), and biosensor chips used to detect foreign bodies, such as
cancer cells, or infected stages of blood cells for quick medical
diagnosis. The book discusses employing predictive analysis using
AI, ML, and DL for tracking diseases, predicting their progress,
and designing tactics as applied to heart disease, coronavirus, and
many other ailments. It looks at various machine learning methods,
grouping and association rules, vector machine assistance, and
evolutionary algorithms. Also discussed is the evolution and
implementation of information and communication technologies in
healthcare delivery, which hold enormous promise for patients,
providers, and payers in future healthcare systems. Other topics
include using drones in health centers, such as for drug
distribution and other purposes; using powerful artificial
intelligence algorithms that can reveal clinically significant
information hidden in vast amounts of data; and more. Computational
Health Informatics for Biomedical Applications explores the many
important smart technologies that can make healthcare delivery and
monitoring faster, more efficient, and less invasive. It will be a
valuable resource for those at the forefront of designing and
employing advanced smart technologies for improved healthcare
services.
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