Tech-Driven Healthcare Evolution
Advances in business information systems and analytics book series,
Год журнала:
2025,
Номер
unknown, С. 305 - 322
Опубликована: Фев. 14, 2025
In
the
context
of
healthcare
institutions,
leveraging
technology
for
adaptability
means
considering
advancements
that
enhance
institution's
ability
to
respond
changes,
challenges,
and
opportunities
in
sector.
Common
examples
include
implementing
telemedicine
remote
monitoring,
as
well
adopting
electronic
health
records
developed
countries.
Additionally,
predictive
modelling
through
data
analytics
broadens
information
integrates
IoT
devices
wearable
technology.
These
highlight
ongoing
technological
evolution
healthcare.
This
paper
aims
analyse
established
practices
with
a
focus
on
how
enhances
improvements
organizations
increase
efficacy
care.
It
explores
use
digital
tools,
application
data-driven
insights,
implementation
agile
achieve
three
key
objectives:
improving
patient
care,
increasing
operational
efficiency,
strengthening
organizational
resilience
response
dynamic
challenges
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
Industry 6.0: the essence, trends and strategic opportunities for Russia
Russian Journal of Industrial Economics,
Год журнала:
2024,
Номер
17(4), С. 353 - 377
Опубликована: Окт. 26, 2024
The
article
presents
the
results
of
a
systematic
study
Industry
6.0
which
is
future
stage
industrial
development
characterized
by
intelligent
and
technological
immersive
hyperconnection
physical-cognitive-emotional
fusion
virtual
(superior
to
digital)
twins
humans
machines.
authors
carry
out
literary
review
synthesis
existing
defi
nitions
6.0,
suggest
authors’
nition
concept,
systematize
key
technologies
six
research
projections:
automation,
sustainable
development,
human-machine
interaction,
information
cybersecurity,
machine
learning,
human
resource
management.
Special
attention
paid
distinctive
features
compared
Industries
4.0
5.0.
involves
ubiquitous
machines
that
allows
implementing
ultrapersonalized
production
create
emotionally
ecosystems,
often
with
help
quantum
technologies.
discuss
opportunities
in
Russia
basing
on
national
strategies
data
economics,
sovereignty
‘Technet’
program
National
Technological
Initiative.
limitations
are
connected
futuristic
nature
lack
suffi
cient
empiric
base
limited
amount
relevant
scientifi
c
publications.
directions
further
may
include
practical
models
for
integration
ecosystems
into
Russian
technology
sectors.
should
be
methods
assessment
economic
social
effect
from
implementation
such
as
multiagent
systems,
computing
emotional
intelligence
well
ways
their
adaptation
within
economics
data.
Язык: Английский
AI-Aided Proximity Detection and Location-Dependent Authentication on Mobile-Based Digital Twin Networks: A Case Study of Door Materials
Applied Sciences,
Год журнала:
2024,
Номер
14(20), С. 9402 - 9402
Опубликована: Окт. 15, 2024
Nowadays,
mobile–mobile
interaction
is
becoming
a
fundamental
methodology
for
human–human
networking
services
since
mobile
devices
are
the
most
common
interfacing
equipment
recent
smart
such
as
food
delivery,
e-commerce,
ride-hailing,
etc.
Unlike
legacy
ways
of
human
interaction,
on-site
and
in-person
mutual
recognition
between
service
provider
client
in
not
trivial.
This
because
only
avoidance
face-to-face
communication
due
to
safety
health
concerns
but
also
difficulty
matching
up
online
user
using
mobiles
with
real
person
physical
world.
So,
novel
scheme
highly
necessary.
paper
comes
cyber-physical
secure
relying
on
digital
twin
paradigm.
The
proposed
designs
architecture
which
real-world
users
form
twins
their
own
abstraction,
authenticate
each
other
interaction.
Thus,
inter-twin
(ITC)
could
support
Such
authentication
(CPA)
ITC
built
dynamic
BLE
beaconing
accurate
proximity
detection
identifier
(ID)
allocation.
To
achieve
high
accuracy
detection,
conducted
wide
variety
data
pre-processing
algorithms,
machine
learning
technologies,
ensemble
techniques.
A
location-dependent
ID
exploited
CPA
dynamically
generated
by
per
service.
Язык: Английский
Digital Twin of the Female Pelvic Floor
Open Journal of Obstetrics and Gynecology,
Год журнала:
2024,
Номер
14(11), С. 1687 - 1694
Опубликована: Янв. 1, 2024
Digital
twin
technology,
originally
developed
for
intricate
physical
systems,
holds
great
potential
in
women's
healthcare,
particularly
the
management
of
pelvic
floor
disorders.
This
paper
delves
into
development
a
digital
specifically
female
floor,
which
can
amalgamate
various
data
sources
such
as
imaging,
biomechanical
assessments,
and
patient-reported
outcomes
to
offer
personalized
diagnostic
therapeutic
insights.
Through
utilization
3D
modeling
machine
learning,
may
facilitate
precise
visualization,
prediction,
individualized
treatment
planning.
Nevertheless,
it
is
crucial
address
ethical
practical
challenges
related
privacy
ensuring
fair
access.
As
this
technology
progresses,
has
revolutionize
gynecological
obstetric
care
by
enhancing
diagnostics,
customizing
treatments,
increasing
patient
involvement.
Язык: Английский