Frontiers in Medicine,
Год журнала:
2024,
Номер
11
Опубликована: Июль 4, 2024
The
most
commonly
applied
way
of
teaching
students
to
convey
the
foundations
human
anatomy
and
physiology
involves
textbooks
lectures.
This
transmitting
knowledge
causes
difficulties
for
students,
especially
in
context
three-dimensional
imaging
organ
structures,
as
a
consequence
translates
into
with
imagining
them.
Even
despite
rapid
uptake
dissemination
provided
by
online
materials,
including
courses
webinars,
there
is
clear
need
learning
programs
featuring
first-hand
immersive
experiences
tailored
suit
individual
study
paces.
In
this
paper,
we
present
an
approach
enhance
classical
program
combining
multi-modality
data
representing
them
Mixed
Reality
(MR)-based
environment.
advantages
proposed
have
been
proven
conducted
investigation
relationship
between
atrial
anatomy,
its
electrophysiological
characteristics,
resulting
P
wave
morphology
on
electrocardiogram
(ECG).
Another
part
paper
focuses
role
sinoatrial
node
ECG
formation,
while
MR-based
visualization
combined
micro-computed
tomography
(micro-CT)
non-invasive
CineECG
demonstrates
educational
application
these
advanced
technologies
cardiac
correlations.
International Journal of General Medicine,
Год журнала:
2025,
Номер
Volume 18, С. 237 - 245
Опубликована: Янв. 1, 2025
With
the
incorporation
of
artificial
intelligence
(AI),
significant
advancements
have
occurred
in
field
fetal
medicine,
holding
potential
to
transform
prenatal
care
and
diagnostics,
promising
revolutionize
diagnostics.
This
scoping
review
aims
explore
recent
updates
prospective
application
AI
evaluating
its
current
uses,
benefits,
limitations.
Compiling
literature
concerning
utilization
medicine
does
not
appear
modify
subject
or
provide
an
exhaustive
exploration
electronic
databases.
Relevant
studies,
reviews,
articles
published
years
were
incorporated
ensure
up-to-date
data.
The
selected
works
analyzed
for
common
themes,
methodologies
applied,
scope
AI's
integration
into
practice.
identified
several
key
areas
where
applications
are
making
strides
including
screening,
diagnosis
congenital
anomalies,
predicting
pregnancy
complications.
AI-driven
algorithms
been
developed
analyze
complex
ultrasound
data,
enhancing
image
quality
interpretative
accuracy.
monitoring
has
also
explored,
with
systems
designed
identify
patterns
indicative
distress.
Despite
these
advancements,
challenges
related
ethical
use
AI,
data
privacy,
need
extensive
validation
tools
diverse
populations
noted.
benefits
immense,
offering
a
brighter
future
our
field.
equips
us
enhanced
diagnosis,
monitoring,
prognostic
capabilities,
way
we
approach
optimistic
outlook
underscores
further
research
interdisciplinary
partnerships
fully
leverage
driving
forward
practice
medicine.
Objective
Digital
twins
(DTs)
emerged
in
the
wake
of
Industry
4.0
and
creation
cyber-physical
systems,
motivated
by
increased
availability
variability
machine
sensor
data.
DTs
are
a
concept
to
create
digital
representation
physical
entity
imitate
its
behavior,
while
feeding
real-world
data
counterpart,
thus
allowing
enabling
simulations
related
entity.
The
new
sources
raises
potential
for
developing
structured
approaches
prediction
analysis.
Similarly,
field
medicine
healthcare,
collection
patient-focused
is
rising.
Medical
DTs,
structured,
exchangeable
representations
knowledge,
increasingly
used
capturing
personal
health,
targeting
specific
illnesses,
or
addressing
complex
healthcare
scenarios
hospitals.
Methods
This
article
surveys
current
state-of-the-art
applying
how
these
generated
support
smart,
personalized
medicine.
These
concepts
applied
DT
simulated
health-monitoring
scenario.
Results
use
case
implemented
using
AnyLogic
multi-agent
simulation,
monitoring
patient’s
health
indicators
their
development.
Conclusion
results
indicate
both
possibilities
challenges
provide
important
insights
future
implementations
healthcare.
They
have
optimize
various
ways,
such
as
providing
patient-centered
health-monitoring.
Electronics,
Год журнала:
2025,
Номер
14(5), С. 891 - 891
Опубликована: Фев. 24, 2025
The
preservation
of
intangible
cultural
heritage
(ICH)
has
transitioned
from
“static”
and
“living”
approaches
to
a
“digital
ecosystem”,
becoming
significant
topic
anthropological
research.
This
study,
adopting
an
perspective,
integrates
sentiment
semantic
analysis
with
user
identity
classification
propose
the
Identity
Sentiment-Centered
Framework
for
Intangible
Cultural
Heritage
(ISC-ICH).
Drawing
on
four
types
ICH
museums
in
Eastern
Sichuan,
China—Nanchong
Langzhong
Wang
Shadow
Puppetry
Museum,
Bazhong
Pingchang
Fanshan
Jiaozi
Base,
Guang’an
Sichuan
Folk
Dazhou
Exhibition
Hall—as
case
studies,
this
research
analyzes
core
factors
contributing
audience’s
sense
local
identity,
including
its
composition,
emotional
needs,
interaction.
findings
reveal
that:
(1)
“Explorers”
“Experience
Seekers”
constitute
primary
audience
groups,
their
evaluations
closely
tied
depth
interactivity.
(2)
digital
transformation
faces
challenges
such
as
resource
limitations,
festival-centric
phenomena,
rise
“internet
celebrity”
trends,
technological
homogenization.
paper
introduces
culturally
tailored
corpus
comprehensive
evaluation
framework,
highlighting
dynamic
interaction
between
audience.
Additionally,
it
proposes
effective
strategies
enhance
social
peripheral
regions.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 107 - 138
Опубликована: Март 28, 2025
Next-generation
wearable
technologies
and
digital
twins
are
the
two
ingredients
that
make
field
of
individual
health
monitoring
innovation.
Digital
virtual
representations
people,
which
assimilate
data
from
devices
with
biometric
use
analytic
machine
learning
tools
to
produce
models
human
change
in
real-time.
The
biomechanical
equivalents
these
variables
help
enhancing
examination
cyclers'
physiological
alterations
a
way
creates
more
compelling
proposals
for
patient-oriented
medical
treatments.
By
integrating
this
twin
models,
healthcare
providers
can
simulate
scenarios,
predict
potential
risks,
tailor
treatment
plans
unique
needs
each
patient.
As
integration
continues
evolve,
it
promises
unlock
new
frontiers
personalized
tracking,
revolutionizing
individuals
clinicians
manage
wellness.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 69 - 106
Опубликована: Март 28, 2025
Digital
twins
and
medical
wearables
are
revolutionizing
healthcare
by
enabling
personalized,
real-time
monitoring
predictive
insights.
twins,
virtual
replicas
of
patients,
integrate
data
from
to
simulate
health
conditions,
predict
outcomes,
optimize
treatments.
Medical
such
as
smartwatches,
biosensors,
fitness
trackers
collect
continuous
data,
providing
insights
into
vital
signs,
activity
levels,
chronic
disease
management.
Together,
they
enhance
remote
patient
monitoring,
support
AI-driven
diagnostics,
facilitate
early
detection
anomalies.
This
synergy
accelerates
precision
medicine,
improves
empowers
proactive
healthcare,
marking
a
transformative
leap
in
innovation.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 169 - 200
Опубликована: Март 28, 2025
The
introduction
of
digital
twin
technology
is
transforming
chronic
disease
management
and
ushering
in
a
new
era
precision
medicine
proactive
care.
concept
the
virtual
representation
physical
entity
that
uses
real-time
data
to
provide
comprehensive
up-to-date
health
status
patient.
In
context
management,
these
counterparts
allow
healthcare
providers
monitor
patient
real-time,
predict
progression
develop
personalized
treatment
strategies.
This
paradigm
shift
enables
patients
physicians
move
from
reactive
predictive
preventive
integration
into
not
without
its
challenges.
Issues
such
as
privacy,
interoperability
need
for
robust
computing
infrastructure
be
addressed
realize
full
potential.
By
fostering
collaboration
between
providers,
this
innovation
can
redefine
future
deliver
more
effective
solutions
management.
Advances in medical technologies and clinical practice book series,
Год журнала:
2024,
Номер
unknown, С. 48 - 68
Опубликована: Июнь 28, 2024
Digital
twin
is
the
virtual
representation
of
a
physical
system
that
processes
information
from
its
counterpart's
environment,
used
to
predict,
simulate,
and
validate
system's
future
behaviour.
system,
being
an
emergent
technology,
has
seen
implementations
in
wide
array
industries
such
as
smart
cities,
engineering,
etc.
In
healthcare,
digital
technology
shows
great
promise
improve
various
areas
patient
care,
virtualization
hospital
spaces,
There
are
concerns
regarding
data
confidentiality,
safety,
accuracy
reliability,
avoidance
bias,
These
can
be
combated
only
through
thorough
feedback
experts,
i.e.,
healthcare
professionals.
This
chapter
aims
provide
valuable
insights
into
different
needs
professionals
while
implementing
systems
aiding
diagnosis,
treatment
planning,
monitoring,
collaboration
among
specialty
teams
all
dealing
with
security
sampling
bias.
physica status solidi (a),
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 12, 2024
The
ability
of
piezoelectric
materials
to
convert
mechanical
energy
into
electric
and
vice
versa
has
made
them
desirable
in
the
wide
range
applications
that
oscillate
from
medicine
energetics
industry.
Their
implementation
optical
communication
is
often
connected
with
modulation
or
other
manipulations
light
signals.
In
this
article,
recent
advancements
field
piezoelectrics‐based
devices
their
promising
benefits
are
explored.
application
allows
dynamic
control,
modulation,
manipulation
signals
lead
a
more
reliable
transmission.
It
turns
out
combination
artificial‐intelligence‐based
algorithms
piezoelectrics
can
enhance
performance
these
devices,
including
optimization
adaptive
signal
processing,
control
components,
increase
level
efficiency.
quality,
mitigate
interference,
reduce
noise‐connected
issues.
Moreover,
technological
fusion
security
systems.
Finally,
potential
future
research
lines
determined.
