Advances in computer and electrical engineering book series,
Год журнала:
2024,
Номер
unknown, С. 367 - 398
Опубликована: Дек. 13, 2024
Quantum
computing
with
AI-driven
medical
technologies
represents
an
absolute
frontier
of
transformation
in
precision
medicine,
diagnostics,
and
drug
discovery.
This
chapter
explores
the
intersection
quantum
artificial
intelligence
transforming
complex
challenges,
namely
big
data
analysis,
acceleration
molecular
simulations,
personalizing
treatment
plans.
algorithms
can
scale
exponentially
beyond
AI's
capabilities
breakthrough
genomic
radiological
interpretation,
predictive
modeling
for
patient
outcomes.
The
focus
will
be
on
state-of-the-art
achievements
machine
learning,
possible
applications
healthcare
areas,
their
future
prospects
revolutionizing
imaging,
optimization
clinical
trials,
real-time
processing
wearable
devices.
They
confront
computational
limits
classical
systems
offer
new
ground
significant
progress
both
research
health
care
delivery
by
solving
problems
that
have
until
now
been
intractable.
This
stands
for
light
fidelity,
or
LiFi.
Like
WiFi,
LiFi
is
a
completely
interconnected
wireless
networking
system
that
can
transmit
data
in
both
directions
at
high
speeds.
By
transmitting
through
an
LED
bulb,
which
change
its
intensity
more
quickly
than
the
human
eye,
enables
transfer
lighting.
Not
only
does
we
use
every
day
illuminate
our
surroundings,
but
it
also
serves
as
means
of
communication.
Interference
and
excessive
delay
are
problems
with
radio
frequency
(RF)
Also,
distinct
arrangement
needed
transmission
receiving
RF
waves
order
to
carry
out
Due
large
bandwidth
tolerance
interference
from
electromagnetic
sources,
Visible
Light
Communication
(VLC)
popular
communication
approach
overcomes
aforementioned
restrictions.
study
presented
IoTVLDC,
Internet
Things
(IoT)
based
Data
connectivity
system,
efficient
between
source
destination
using
connectivity.
To
gauge
efficacy
planned
effort,
this
will
be
contrasted
standard
paradigm.
A
two-way,
light-based
employed.
I
intend
provide
detailed
analysis
Technology
work.
With
technology,
achieve
rates
much
higher
10
Mbps,
significantly
LAN.
Compared
far
beneficial
since
employs
VLC,
allows
us
utilize
whole
60
GHz
spectrum.
light-emitting
diode
bulbs,
changes
rate
too
eye
detect.
operate
lit
area,
making
extremely
regulated
setting.
In
addition
being
environmentally
friendly,
technology
communications
make
future
safer
affordable.
The
unfair
delivery
of
medical
resources,
particularly
in
rural
places
around
the
world,
has
long
contributed
to
digital
era
shortcomings
healthcare
applications.
current
system
can
be
physiologically
and
psychologically
transformed
by
utilizing
cognitive
data
intelligence
(CDI),
which
is
integration
computing
(CC),
massive
analytics,
tiny
artificial
(AI),
machine
learning
(ML),
assess
a
patient's
health
progress.
convergence
6G-enabled
tactile
internet
(TI),
CDI,
Internet-of-Healthcare
enables
remote
detection
patients'
emotional
states
during
disease
diagnosis.
All
these
components
are
meant
come
together
as
6GCIoHE
system,
going
make
sure
that
patients
get
their
treatment
quickly,
for
haptic
movements,
attaining
worldwide
abundant
availability,
very
low
latency,
great
dependability,
improved
performance
real-time.
We
propose
model-driven
methodology
build
develop
with
care.
This
takes
into
account
needs
through
connections
knowledge
sources,
semantic
process
management,
competences,
it
uses
different
levels
refinement.
goal
this
chapter
new
theoretical
approach
would
attract
more
research
sector
based
on
architecture,
applications,
problems,
future
directions.
With
the
advent
of
Healthcare
4.0,
there
is
increased
interest
from
researchers
world
over
in
application
modern,
cutting-edge
Artificial
Intelligence
(AI)
and
Quantum
(QAI)
algorithms
solving
healthcare
challenges.The
era
Computing
(QC)
promises
to
bring
significant
advancements
several
areas
such
that
it
may
be
sensible
give
this
hybrid
Quantum/Classical
paradigm
its
own
name
-Healthcare4Q.The
potential
QC
will
extend
reach
Healthcare4Q
with
help
diverse
technologies
as
quantum-enabled
wearables,
quantum-secure
transfer
storage
data,
quantum
computing
at
edge,
fog,
cloud.All
these
promise
catapult
become
most
capable
framework
advancement
medical
innovations
improvement
patient
care.An
integral
part
a
person's
health
lies
cardiovascular
health,
thus
prioritizing
optimizing
remains
vital
broader
goals
public
sustainability.In
study,
under
Healthcare4Q,
we
propose
called
AIdriven
Heart
Health
Framework
(QAIHHF)
can
provide
advanced
predictive
intelligence
providers
by
utilizing
historical
real-time
data
processing
capabilities
proposed
Healthcare4Q.We
show
when
applied
various
diagnostics
indicators
ECG
AI
provides
accuracy
level
equal
or
higher
compared
classical
methods
proving
itself
critical
component
herald
Healthcare4Q.
