Sensors,
Год журнала:
2024,
Номер
24(10), С. 3129 - 3129
Опубликована: Май 14, 2024
Over
the
past
few
decades,
Information
and
Communication
Technologies
(ICT)
have
revolutionized
fields
of
nursing
patient
healthcare
management.
This
scoping
review
accompanying
case
studies
shed
light
on
extensive
scope
impact
ICT
in
these
critical
domains.
The
explores
wide
array
tools
employed
care
These
encompass
electronic
health
records
systems,
mobile
applications,
telemedicine
solutions,
remote
monitoring
more.
article
underscores
how
technologies
enhanced
efficiency,
accuracy,
accessibility
clinical
information,
contributing
to
improved
care.
revolution
has
revitalized
management,
improving
quality
satisfaction.
emphasize
ongoing
potential
sector
call
for
further
research
maximize
its
benefits.
Journal of Personalized Medicine,
Год журнала:
2023,
Номер
13(6), С. 951 - 951
Опубликована: Июнь 5, 2023
Artificial
intelligence
(AI)
applications
have
transformed
healthcare.
This
study
is
based
on
a
general
literature
review
uncovering
the
role
of
AI
in
healthcare
and
focuses
following
key
aspects:
(i)
medical
imaging
diagnostics,
(ii)
virtual
patient
care,
(iii)
research
drug
discovery,
(iv)
engagement
compliance,
(v)
rehabilitation,
(vi)
other
administrative
applications.
The
impact
observed
detecting
clinical
conditions
diagnostic
services,
controlling
outbreak
coronavirus
disease
2019
(COVID-19)
with
early
diagnosis,
providing
care
using
AI-powered
tools,
managing
electronic
health
records,
augmenting
compliance
treatment
plan,
reducing
workload
professionals
(HCPs),
discovering
new
drugs
vaccines,
spotting
prescription
errors,
extensive
data
storage
analysis,
technology-assisted
rehabilitation.
Nevertheless,
this
science
pitch
meets
several
technical,
ethical,
social
challenges,
including
privacy,
safety,
right
to
decide
try,
costs,
information
consent,
access,
efficacy,
while
integrating
into
governance
crucial
for
safety
accountability
raising
HCPs'
belief
enhancing
acceptance
boosting
significant
consequences.
Effective
prerequisite
precisely
address
regulatory,
trust
issues
advancing
implementation
AI.
Since
COVID-19
hit
global
system,
concept
has
created
revolution
healthcare,
such
an
uprising
could
be
another
step
forward
meet
future
needs.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery,
Год журнала:
2023,
Номер
13(2)
Опубликована: Янв. 5, 2023
Abstract
The
adoption
of
artificial
intelligence
(AI)
in
healthcare
is
growing
rapidly.
Remote
patient
monitoring
(RPM)
one
the
common
applications
that
assist
doctors
to
monitor
patients
with
chronic
or
acute
illness
at
remote
locations,
elderly
people
in‐home
care,
and
even
hospitalized
patients.
reliability
manual
systems
depends
on
staff
time
management
which
dependent
their
workload.
Conventional
involves
invasive
approaches
require
skin
contact
health
status.
This
study
aims
do
a
comprehensive
review
RPM
including
adopted
advanced
technologies,
AI
impact
RPM,
challenges
trends
AI‐enabled
RPM.
explores
benefits
patient‐centric
architectures
enabled
Internet
Things
wearable
devices
sensors
using
cloud,
fog,
edge,
blockchain
technologies.
role
ranges
from
physical
activity
classification
disease
vital
signs
emergency
settings.
results
show
have
transformed
because
ability
detect
early
deterioration
patients'
health,
personalize
individual
parameter
federated
learning,
learn
human
behavior
patterns
techniques
such
as
reinforcement
learning.
discusses
adopt
implementation
issues.
future
directions
are
analyzed
based
trends.
article
categorized
under:
Application
Areas
>
Health
Care
Technologies
Artificial
Intelligence
Bioengineering,
Год журнала:
2024,
Номер
11(4), С. 337 - 337
Опубликована: Март 29, 2024
As
healthcare
systems
around
the
world
face
challenges
such
as
escalating
costs,
limited
access,
and
growing
demand
for
personalized
care,
artificial
intelligence
(AI)
is
emerging
a
key
force
transformation.
This
review
motivated
by
urgent
need
to
harness
AI’s
potential
mitigate
these
issues
aims
critically
assess
integration
in
different
domains.
We
explore
how
AI
empowers
clinical
decision-making,
optimizes
hospital
operation
management,
refines
medical
image
analysis,
revolutionizes
patient
care
monitoring
through
AI-powered
wearables.
Through
several
case
studies,
we
has
transformed
specific
domains
discuss
remaining
possible
solutions.
Additionally,
will
methodologies
assessing
solutions,
ethical
of
deployment,
importance
data
privacy
bias
mitigation
responsible
technology
use.
By
presenting
critical
assessment
transformative
potential,
this
equips
researchers
with
deeper
understanding
current
future
impact
on
healthcare.
It
encourages
an
interdisciplinary
dialogue
between
researchers,
clinicians,
technologists
navigate
complexities
implementation,
fostering
development
AI-driven
solutions
that
prioritize
standards,
equity,
patient-centered
approach.
Heliyon,
Год журнала:
2024,
Номер
10(4), С. e26297 - e26297
Опубликована: Фев. 1, 2024
Over
the
past
decade,
there
has
been
a
notable
surge
in
AI-driven
research,
specifically
geared
toward
enhancing
crucial
clinical
processes
and
outcomes.
The
potential
of
AI-powered
decision
support
systems
to
streamline
workflows,
assist
diagnostics,
enable
personalized
treatment
is
increasingly
evident.
Nevertheless,
introduction
these
cutting-edge
solutions
poses
substantial
challenges
care
environments,
necessitating
thorough
exploration
ethical,
legal,
regulatory
considerations.
A
robust
governance
framework
imperative
foster
acceptance
successful
implementation
AI
healthcare.
This
article
delves
deep
into
critical
ethical
concerns
entangled
with
deployment
practice.
It
not
only
provides
comprehensive
overview
role
technologies
but
also
offers
an
insightful
perspective
on
challenges,
making
pioneering
contribution
field.
research
aims
address
current
digital
healthcare
by
presenting
valuable
recommendations
for
all
stakeholders
eager
advance
development
innovative
systems.
Frontiers in Artificial Intelligence,
Год журнала:
2023,
Номер
6
Опубликована: Авг. 29, 2023
As
the
demand
for
quality
healthcare
increases,
systems
worldwide
are
grappling
with
time
constraints
and
excessive
workloads,
which
can
compromise
of
patient
care.
Artificial
intelligence
(AI)
has
emerged
as
a
powerful
tool
in
clinical
medicine,
revolutionizing
various
aspects
care
medical
research.
The
integration
AI
medicine
not
only
improved
diagnostic
accuracy
treatment
outcomes,
but
also
contributed
to
more
efficient
delivery,
reduced
costs,
facilitated
better
experiences.
This
review
article
provides
an
extensive
overview
applications
history
taking,
examination,
imaging,
therapeutics,
prognosis
Furthermore,
it
highlights
critical
role
played
transforming
developing
nations.
Sustainability,
Год журнала:
2023,
Номер
15(8), С. 6655 - 6655
Опубликована: Апрель 14, 2023
Artificial
intelligence
(AI)
has
entered
the
mainstream
as
computing
power
improved.
The
healthcare
industry
is
undergoing
dramatic
transformations
at
present.
One
of
most
recent
industries
to
heavily
use
AI
telehealth,
which
used
for
anything
from
issuing
electronic
cards
providing
individual
counselling.
influencing
telehealth
in
United
States
a
major
way.
Using
allow
clinicians
make
real-time,
data-driven
rich
choices
critical
offering
better
patient
experience
and
improved
health
outcomes
practitioners
strive
toward
expanding
virtual
care
options
along
continuum.
Research
medical
started
AI’s
strengths
data
processing
analysis
reflecting
widespread
adoption
other
sectors.
Because
difficulties
inherent
telemedicine’s
deployment,
there
an
urgent
need
broaden
its
capabilities
enhance
processes
so
that
they
may
be
tailored
address
particular
issues.
This
article
aimed
study
different
areas
telemedicine
analyze
effect
field
medicine.
literature
surveyed
this
demonstrates
infinite
growth
potential
afforded
by
combination
telemedicine.
There
are
four
main
directions
technology
heading:
monitoring,
IT,
intelligent
aid
diagnosis,
information
with
specialists.
Neurocomputing,
Год журнала:
2023,
Номер
565, С. 127017 - 127017
Опубликована: Ноя. 9, 2023
Integrating
Internet
of
Things
(IoT)
technologies
in
the
healthcare
industry
represents
a
transformative
shift
with
tangible
benefits.
This
paper
provides
detailed
examination
IoT
adoption
healthcare,
focusing
on
specific
sensor
types
and
communication
methods.
It
underscores
successful
real-world
applications,
including
remote
patient
monitoring,
individualized
treatment
strategies,
streamlined
delivery.
Furthermore,
it
delves
into
intricate
challenges
to
realizing
full
potential
healthcare.
includes
addressing
data
security
concerns,
ensuring
seamless
interoperability,
optimizing
use
IoT-generated
data.
The
seeks
inspire
practitioners
researchers
by
highlighting
practical
implications
emphasizing
ways
can
enhance
care,
resource
allocation,
overall
efficiency.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 371 - 388
Опубликована: Янв. 18, 2024
The
integration
of
internet
things
(IoT)
technology
in
healthcare
has
revolutionized
chronic
disease
management
and
cost
reduction.
IoT-enabled
remote
patient
monitoring
systems
provide
real-time
insights
into
patients'
health
parameters,
enabling
informed
decisions
participation.
central
hub
these
provides
accurate,
up-to-date
data,
timely
alerts
for
diseases.
Electronic
records
(EHR)
offer
comprehensive
historical
data
while
ensuring
privacy
security.
However,
challenges
like
security,
scalability,
interoperability
remain.
industry
must
improve
security
measures,
standardize
interoperability,
adopt
advanced
analytics,
artificial
intelligence,
wearable
personalized,
data-driven,
cost-effective
care.
Hybrid Advances,
Год журнала:
2024,
Номер
7, С. 100277 - 100277
Опубликована: Авг. 23, 2024
Artificial
Intelligence
(AI)
technology's
rapid
advancement
has
significantly
changed
various
industries'
operations.
This
comprehensive
review
paper
aims
to
provide
readers
with
a
deep
understanding
of
AI's
applications
&
implementations,
workings,
and
potential
impacts
across
different
sectors.
It
also
discusses
its
future,
threats,
integration
into
new
policy.
Through
extensive
research
on
more
than
200
many
other
sources,
the
authors
have
made
every
effort
present
an
accurate
overview
numerous
AI
nowadays
in
industries
such
as
agriculture,
education,
autonomous
systems,
healthcare,
finance,
entertainment,
transportation,
military,
manufacturing,
more.
The
explores
technologies,
including
machine
learning,
robotics,
big
data,
Internet
Things,
natural
language
processing,
image
object
detection,
virtual
reality,
augmented
speech
recognition,
computer
vision.
provides
real-world
examples
their
implementations.
Moreover,
it
highlights
evaluates
future
potential,
challenges,
limitations
associated
widespread
use
AI.
Our
study
incorporates
latest
offer
nuanced
benefits
challenges.
data-driven
case
immense
technology
addresses
ethical,
societal,
economic
considerations
related
implementation.
Information Fusion,
Год журнала:
2023,
Номер
102, С. 102040 - 102040
Опубликована: Сен. 27, 2023
Multimodal
medical
data
fusion
has
emerged
as
a
transformative
approach
in
smart
healthcare,
enabling
comprehensive
understanding
of
patient
health
and
personalized
treatment
plans.
In
this
paper,
journey
from
to
information
knowledge
wisdom
(DIKW)
is
explored
through
multimodal
for
healthcare.
We
present
review
focused
on
the
integration
various
modalities.
The
explores
different
approaches
such
feature
selection,
rule-based
systems,
machine
;earning,
deep
learning,
natural
language
processing,
fusing
analyzing
data.
This
paper
also
highlights
challenges
associated
with
By
synthesizing
reviewed
frameworks
theories,
it
proposes
generic
framework
that
aligns
DIKW
model.
Moreover,
discusses
future
directions
related
four
pillars
healthcare:
Predictive,
Preventive,
Personalized,
Participatory
approaches.
components
survey
presented
form
foundation
more
successful
implementation
Our
findings
can
guide
researchers
practitioners
leveraging
power
state-of-the-art
revolutionize
healthcare
improve
outcomes.
