Journal of Clinical Medicine,
Journal Year:
2024,
Volume and Issue:
13(15), P. 4337 - 4337
Published: July 25, 2024
BC,
affecting
both
women
and
men,
is
a
complex
disease
where
early
diagnosis
plays
crucial
role
in
successful
treatment
enhances
patient
survival
rates.
The
Metaverse,
virtual
world,
may
offer
new,
personalized
approaches
to
diagnosing
treating
BC.
Although
Artificial
Intelligence
(AI)
still
its
stages,
rapid
advancement
indicates
potential
applications
within
the
healthcare
sector,
including
consolidating
information
one
accessible
location.
This
could
provide
physicians
with
more
comprehensive
insights
into
details.
Leveraging
Metaverse
facilitate
clinical
data
analysis
improve
precision
of
diagnosis,
potentially
allowing
for
tailored
treatments
BC
patients.
However,
while
this
article
highlights
possible
transformative
impacts
technologies
on
treatment,
it
important
approach
these
developments
cautious
optimism,
recognizing
need
further
research
validation
ensure
enhanced
care
greater
accuracy
efficiency.
npj Digital Medicine,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: March 22, 2024
Abstract
The
use
of
digital
twins
(DTs)
has
proliferated
across
various
fields
and
industries,
with
a
recent
surge
in
the
healthcare
sector.
concept
twin
for
health
(DT4H)
holds
great
promise
to
revolutionize
entire
system,
including
management
delivery,
disease
treatment
prevention,
well-being
maintenance,
ultimately
improving
human
life.
rapid
growth
big
data
continuous
advancement
science
(DS)
artificial
intelligence
(AI)
have
potential
significantly
expedite
DT
research
development
by
providing
scientific
expertise,
essential
data,
robust
cybertechnology
infrastructure.
Although
initiatives
been
underway
industry,
government,
military,
DT4H
is
still
its
early
stages.
This
paper
presents
an
overview
current
applications
DTs
healthcare,
examines
consortium
centers
their
limitations,
surveys
landscape
emerging
opportunities
healthcare.
We
envision
emergence
collaborative
global
effort
among
stakeholders
enhance
improve
quality
life
millions
individuals
worldwide
through
pioneering
realm
technology.
Biomedical Technology,
Journal Year:
2023,
Volume and Issue:
4, P. 28 - 38
Published: March 22, 2023
Digital
Twin
is
a
virtual
replica
of
an
item
that
gaining
traction
in
several
sectors.
This
technology
creating
significant
advancements
the
field
healthcare.
A
machine
or
person's
digital
twin
entity.
In
order
to
create
model
can
be
tested
and
simulated,
one
has
gather
enormous
volumes
data
through
Internet
Things
(IoT)
sensors
for
associated
application.
Based
on
patient's
lifestyle,
regular
eating
habits,
blood
sugar
data,
this
helps
warn
patient
about
prescriptions,
dietary
adjustments,
medical
consultations,
other
situations.
uses
substantial
quantity
from
multiple
IoT
devices
Artificial
Intelligence
(AI)-powered
models.
Patients'
own
previous
insights
help
select
most
appropriate
medication,
forecast
results
particular
surgery,
control
chronic
illness.
The
main
aim
paper
study
its
need
healthcare
sector.
Paper
discusses
various
features
services
Healthcare.
Various
technologies
tools
Twins
Healthcare
are
also
briefed
further
identified
discussed,
along
with
applications.
sector
realised
framework
focused
patient.
future,
should
think
more
advanced
ways
provide
best-in-class
treatment
Planning
post-digital
era
crucial
as
organisations
continue
their
transformation
initiatives.
Frontiers in Digital Health,
Journal Year:
2023,
Volume and Issue:
5
Published: Sept. 7, 2023
Digital
twin
technology
is
revolutionizing
healthcare
systems
by
leveraging
real-time
data
integration,
advanced
analytics,
and
virtual
simulations
to
enhance
patient
care,
enable
predictive
optimize
clinical
operations,
facilitate
training
simulation.
With
the
ability
gather
analyze
a
wealth
of
from
various
sources,
digital
twins
can
offer
personalized
treatment
plans
based
on
individual
characteristics,
medical
history,
physiological
data.
Predictive
analytics
preventive
interventions
are
made
possible
machine
learning
algorithms,
allowing
for
early
detection
health
risks
proactive
interventions.
operations
analyzing
workflows
resource
allocation,
leading
streamlined
processes
improved
care.
Moreover,
provide
safe
realistic
environment
professionals
their
skills
practice
complex
procedures.
The
implementation
in
has
potential
significantly
improve
outcomes,
safety,
drive
innovation
industry.
Bioengineering,
Journal Year:
2023,
Volume and Issue:
10(4), P. 455 - 455
Published: April 7, 2023
Medical
digital
twins,
which
represent
medical
assets,
play
a
crucial
role
in
connecting
the
physical
world
to
metaverse,
enabling
patients
access
virtual
services
and
experience
immersive
interactions
with
real
world.
One
serious
disease
that
can
be
diagnosed
treated
using
this
technology
is
cancer.
However,
digitalization
of
such
diseases
for
use
metaverse
highly
complex
process.
To
address
this,
study
aims
machine
learning
(ML)
techniques
create
real-time
reliable
twins
cancer
diagnostic
therapeutic
purposes.
The
focuses
on
four
classical
ML
are
simple
fast
specialists
without
extensive
Artificial
Intelligence
(AI)
knowledge,
meet
requirements
Internet
Things
(IoMT)
terms
latency
cost.
case
breast
(BC),
second
most
prevalent
form
worldwide.
also
presents
comprehensive
conceptual
framework
illustrate
process
creating
cancer,
demonstrates
feasibility
reliability
these
monitoring,
diagnosing,
predicting
parameters.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
3(1)
Published: Jan. 4, 2024
Artificial
intelligence
(AI)
has
ushered
in
transformative
changes,
championing
inclusion
and
accessibility
for
individuals
with
disabilities.
This
article
delves
into
the
remarkable
AI-driven
solutions
that
have
revolutionized
their
lives
across
various
domains.
From
assistive
technologies
such
as
voice
recognition
AI-powered
smart
glasses
catering
to
diverse
needs,
healthcare
benefiting
from
early
disease
detection
algorithms
wearable
devices
monitor
vital
signs
alert
caregivers
emergencies,
AI
steered
significant
enhancements.
Moreover,
prosthetics
exoskeletons
substantially
improved
mobility
those
limb
impairments.
The
realm
of
education
not
been
left
untouched,
tools
creating
inclusive
learning
environments
adapt
individual
styles,
paving
way
academic
success
among
students
However,
boundless
potential
also
presents
ethical
concerns
challenges.
Issues
like
safeguarding
data
privacy,
mitigating
algorithmic
bias,
bridging
digital
divide
must
be
thoughtfully
addressed
fully
harness
AI’s
empowering
To
complement
these
achievements,
a
robust
conceptual
model
disability
serves
theoretical
framework,
guiding
development
tailored
solutions.
By
striking
harmonious
balance
between
innovation
ethics,
power
significantly
enhance
overall
quality
life
disabilities
spectrum
areas.
Journal of Medical Internet Research,
Journal Year:
2024,
Volume and Issue:
26, P. e50204 - e50204
Published: May 13, 2024
Digital
twins
have
emerged
as
a
groundbreaking
concept
in
personalized
medicine,
offering
immense
potential
to
transform
health
care
delivery
and
improve
patient
outcomes.
It
is
important
highlight
the
impact
of
digital
on
medicine
across
understanding
health,
risk
assessment,
clinical
trials
drug
development,
monitoring.
By
mirroring
individual
profiles,
offer
unparalleled
insights
into
patient-specific
conditions,
enabling
more
accurate
assessments
tailored
interventions.
However,
their
application
extends
beyond
benefits,
prompting
significant
ethical
debates
over
data
privacy,
consent,
biases
care.
The
rapid
evolution
this
technology
necessitates
careful
balancing
act
between
innovation
responsibility.
As
field
continues
evolve,
hold
tremendous
promise
transforming
revolutionizing
While
challenges
exist,
continued
development
integration
revolutionize
ushering
an
era
treatments
improved
well-being.
can
assist
recognizing
trends
indicators
that
might
signal
presence
diseases
or
forecast
likelihood
developing
specific
medical
along
with
progression
such
diseases.
Nevertheless,
use
human
gives
rise
dilemmas
related
informed
ownership,
for
discrimination
based
profiles.
There
critical
need
robust
guidelines
regulations
navigate
these
challenges,
ensuring
pursuit
advanced
solutions
does
not
compromise
rights
This
viewpoint
aims
ignite
comprehensive
dialogue
responsible
advocating
future
where
serves
cornerstone
personalized,
ethical,
effective
ACM Computing Surveys,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 10, 2025
The
rapid
advancement
of
mobile
networks
highlights
the
limitations
traditional
network
planning
and
optimization
methods,
particularly
in
modeling,
evaluation,
application.
Network
Digital
Twins,
which
simulate
digital
domain
for
offer
a
solution
to
these
challenges.
This
concept
is
further
enhanced
by
generative
AI
technology,
promises
more
efficient
accurate
AI-driven
data
generation
simulation
optimization.
survey
provides
insights
into
AI-empowered
twins.
We
begin
outlining
architecture
twin,
encompasses
both
physical
domains.
involves
four
key
steps:
processing
monitoring,
replication
simulation,
designing
training
optimizers,
Sim2Real
control.
Next,
we
systematically
discuss
related
studies
each
step
make
detailed
taxonomy
problem
studied,
methods
used,
designs
leveraged.
Each
examined
with
focus
on
role
AI,
from
estimating
missing
simulating
behaviors
control
strategies
bridging
gap
between
Finally,
open
issues
challenges
AI-based
Cancer Discovery,
Journal Year:
2023,
Volume and Issue:
13(6), P. 1301 - 1309
Published: April 18, 2023
Summary:
The
current
approaches
for
cancer
drug
development
lag
behind
an
accelerated
need
in
the
field
a
fast
and
efficient
method
evaluating
drugs
personalized
medicine
era.
In
that
regard,
N-of-1
studies
emerge
as
potential
addition
to
arsenal,
although
there
are
several
considerations
before
its
broad
application
becomes
feasible.
essence,
trials
departure
from
traditional
“drug-centric”
model
“patient-centric”
model.
Herein,
we
review
concept
of
provide
real-world
examples
their
use
developmental
therapeutics
field.
offer
exceptional
opportunity
fast-tracking
precision
oncology
