Methodological design of a digital twin architecture in advanced surgery applied to the treatment of enteroatmospheric fistula
Computers & Industrial Engineering,
Год журнала:
2025,
Номер
unknown, С. 111105 - 111105
Опубликована: Апрель 1, 2025
Язык: Английский
Cloud-Based Digital Twins: Revolutionizing Healthcare Monitoring and Management: A Comprehensive Review
International Journal of Innovative Research in Computer Science & Technology,
Год журнала:
2025,
Номер
13(1), С. 19 - 25
Опубликована: Янв. 1, 2025
The
rapid
evolution
of
healthcare
technology
has
led
to
innovative
solutions
for
addressing
challenges
in
patient
care,
operational
efficiency,
and
data
management.
Among
these,
cloud-based
digital
twins
have
emerged
as
a
transformative
technology,
offering
real-time,
data-driven
models
that
mirror
physical
entities
such
patients,
medical
devices,
or
processes.
This
comprehensive
review
explores
the
integration
twin
with
cloud
computing
industry,
highlighting
its
potential
revolutionize
monitoring
management
practices.
Cloud
infrastructure
enables
seamless
collection,
storage,
processing
vast
amounts
data,
empowering
provide
real-time
insights
into
health,
predictive
diagnostics,
personalized
treatment
plans.
Furthermore,
examines
role
optimizing
hospital
workflows,
improving
efficiency
enabling
remote
monitoring.
Key
security,
interoperability,
computational
demands
integrating
existing
systems
are
discussed
alongside
solutions.
study
also
outlines
current
applications
emerging
trends,
emphasizing
artificial
intelligence
machine
learning
enhancing
capabilities
twins.
Ultimately,
this
underscores
fostering
patient-centric,
ecosystem,
paving
way
smarter
more
efficient
delivery
systems.
Язык: Английский
Review of Precision Medicine and Diagnosis of Neonatal Illness
Diagnostics,
Год журнала:
2025,
Номер
15(4), С. 478 - 478
Опубликована: Фев. 16, 2025
Background/Objectives:
Precision
medicine
is
a
state-of-the-art
tactic
that
tailors
information
about
people's
genes,
environment,
and
lifestyle
to
aid
the
prevention,
diagnosis,
treatment
of
various
diseases
provide
an
overview
currently
available
knowledge
applicability
precision
in
diagnosis
different
cases
admitted
NICU,
such
as
encephalopathies,
respiratory
distress
syndrome
prematurity,
hemodynamic
instability,
acute
kidney
injury,
sepsis,
hyperbilirubinemia.
Methods:
The
authors
searched
databases,
PubMed
Central,
for
terms
neonatal
"precision
medicine",
"personalized
"genomics",
"metabolomics",
all
related
illness.
studies
were
collected.
Results:
review
highlights
diagnostic
approach
serves
implement
NICU
monitoring,
treatment.
Conclusions:
In
this
review,
we
projected
several
approaches
identification
health
problems
among
sick
neonates
with
complex
illnesses
NICU;
some
are
noninvasive
ordinary
healthcare
settings,
while
others
invasive
or
not
feasible
still
ongoing
research
machine
learning
algorithms.
Future
needed
wide
implementation
artificial
intelligence
tools
illnesses.
Язык: Английский
Digital Twin Technology: Revolutionizing Modern Healthcare Systems
International Journal of Scientific Research in Computer Science Engineering and Information Technology,
Год журнала:
2025,
Номер
11(1), С. 2947 - 2954
Опубликована: Фев. 18, 2025
Digital
Twin
technology
represents
a
transformative
advancement
in
healthcare
delivery
and
management,
enabling
the
creation
of
virtual
replicas
for
patients,
medical
devices,
processes.
This
innovative
integrates
real-time
data
acquisition,
historical
analysis,
advanced
machine
learning
algorithms
to
create
dynamic
simulations
physical
entities.
The
implementation
encompasses
multiple
architectural
layers,
from
integration
application
interfaces,
facilitating
comprehensive
patient
monitoring,
predictive
diagnostics,
personalized
treatment
optimization.
Through
sophisticated
security
protocols
scalable
infrastructure,
digital
twins
enhance
operational
efficiency,
improve
outcomes,
revolutionize
device
management.
demonstrates
significant
capabilities
early
disease
detection,
planning,
resource
optimization
while
maintaining
strict
compliance
with
standards.
emerging
technologies
like
AI
IoT
further
amplifies
its
impact,
proactive
interventions,
reducing
readmission
rates,
streamlining
clinical
workflows
across
institutions.
Язык: Английский
REAL-WORLD APPLICATIONS OF DIGITAL TWIN TECHNOLOGY IN PERFORMANCE MANAGEMENT: LESSONS FROM GLOBAL HEALTHCARE CASE STUDIES
International Journal of Innovative Technologies in Social Science,
Год журнала:
2025,
Номер
1(45)
Опубликована: Март 17, 2025
Digital
twin
technology
is
revolutionizing
healthcare
by
providing
a
real-time
digital
replica
of
hospital
systems,
enabling
better
decision-making
and
performance
optimization.
This
study
examines
the
implementation
models
in
through
an
analysis
four
real-world
case
studies:
The
Moorfields
Eye
Hospital
(UK),
Singapore
General
Hospital,
Duke
Health
(USA),
Karolinska
University
(Sweden).
By
reviewing
these
cases,
highlights
their
impact
on
operational
efficiency,
resource
utilization,
patient
care
outcomes.
Challenges
faced
during
key
lessons
learned
are
discussed
to
guide
future
adoption
healthcare.
Язык: Английский
Digital Twins in Healthcare
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 1 - 36
Опубликована: Март 28, 2025
The
idea
of
a
Digital
Twin
involves
creating
digital
facsimile
tangible
entity
or
operational
mechanism.
Initially
developed
in
engineering
and
manufacturing,
the
has
evolved
to
revolutionize
healthcare
by
developing
virtual
patient
models,
medical
equipment,
health
care
systems.
These
representations
are
created
mimic
current
instantaneous
state,
conditions,
behaviors
their
physical
counterparts,
offering
valuable
insights,
predictions,
solutions
care,
disease
management,
efficiency.
Язык: Английский
Artificial Intelligence-Powered Digital Twin Predictive Analytics Model for Smart Healthcare System
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 271 - 324
Опубликована: Март 28, 2025
Health
monitoring
systems
and
healthcare
organizations
produce
vast
amounts
of
complicated
data,
which
present
opportunities
for
creative
research
in
medical
decision-making.
These
data
capture
advances
have
opened
unthinkable
domains
AI
digital
twin-related
applications.
AI-powered
twin
supports
process
automation,
real-time
health
monitoring,
enhanced
decision-making,
personalized
healthcare,
predictive
analytics.
applications
can
create
models
that
mimic
human
physiology
using
various
advanced
computing
approaches.
The
potential
twins
be
used
to
advance
better
outcomes.
Hence,
this
chapter
aims
provide
an
Artificial
Intelligence-powered
analytics
model
innovative
system.
Integrating
into
the
smart
field
improve
procedures,
treatment,
a
intelligent
ecosystem.
Язык: Английский
Comprehensive Modeling of Occupational Diseases Using Digital Twins
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 233 - 270
Опубликована: Март 28, 2025
This
chapter
focuses
on
the
application
and
beneficial
effects
of
digital
twins
in
field
occupational
disease
prevention
treatment.
Taking
IoT
approach
as
an
example,
this
introduces
how
to
use
both
factory
site
data
worker
physiological
build
provide
personalized
treatment
models
through
AI-driven
analysis.
The
practical
applicability
advantages
technology
are
illustrated
case
study
noise-induced
hearing
loss
(NIHL)
a
foundry
setting.
By
integrating
environmental
noise
monitoring
with
individual
health
data,
generate
precise
representations
correlation
between
exposure
health.
method
improves
safety
workers
by
enhancing
accuracy
efficacy
risk
assessments,
resulting
more
targeted
efficient
interventions.
Язык: Английский
Implementing Artificial Intelligence in Family Medicine: Challenges and Limitations
Cureus,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 11, 2024
General
practice/family
medicine
is
a
primary
healthcare
discipline
that
focuses
on
providing
comprehensive,
patient-centered
care
to
individuals
and
families
across
their
lifespan.
This
study
aimed
assess
the
implementation
of
artificial
intelligence
(AI)
in
general
regarding
12
characteristics
its
as
described
recently
revised
European
Definition
Practice/Family
Medicine.
AI
has
potential
revolutionize
family
practice
by
improving
accuracy,
efficiency,
effectiveness
various
clinical
tasks.
From
diagnostic
decision-making
chronic
condition
management
workflow
optimization,
AI-powered
tools
offer
range
benefits
for
patients
clinicians.
However,
appropriate
education
training
providers
are
deemed
necessary
maximize
minimize
pitfalls.
To
ensure
efficient
safe
integration
medical
practice,
important
implications
privacy,
malpractice,
bias,
autonomy,
overtreatment
should
also
be
addressed.
application
treated
practical,
assistive
tool
clinician,
can
hardly
take
over
cannot
replace
doctor-patient
relationship.
Язык: Английский