International Journal of Oral Health Dentistry,
Год журнала:
2023,
Номер
9(2), С. 86 - 88
Опубликована: Июнь 15, 2023
The
advent
of
robotics
in
dentistry
can
make
both
patients
and
dentists
more
comfortable.
A
robotic
system
is
innovative,
making
a
positive
difference
the
least
invasive
treatment,
dental
development
still
its
infancy.
To
expand
use
adoption
this
technology,
numerous
obstacles
problems
must
be
overcome.
In
order
to
ensure
that
treatment
planning
will
simpler,
affordable,
beneficial
providers,
patients,
wider
segment
society,
field
research
has
tasks
play.
goal
article
discuss
initiatives
employ
support
departments
have
pushed
boundaries
medical
innovation.
Big Data and Cognitive Computing,
Год журнала:
2023,
Номер
7(3), С. 147 - 147
Опубликована: Авг. 30, 2023
The
future
of
innovative
robotic
technologies
and
artificial
intelligence
(AI)
in
pharmacy
medicine
is
promising,
with
the
potential
to
revolutionize
various
aspects
health
care.
These
advances
aim
increase
efficiency,
improve
patient
outcomes,
reduce
costs
while
addressing
pressing
challenges
such
as
personalized
need
for
more
effective
therapies.
This
review
examines
major
robotics
AI
pharmaceutical
medical
fields,
analyzing
advantages,
obstacles,
implications
In
addition,
prominent
organizations
research
institutions
leading
way
these
technological
advancements
are
highlighted,
showcasing
their
pioneering
efforts
creating
utilizing
state-of-the-art
solutions
medicine.
By
thoroughly
current
state
care
exploring
possibilities
further
progress,
this
work
aims
provide
readers
a
comprehensive
understanding
transformative
power
evolution
healthcare
sector.
Striking
balance
between
embracing
technology
preserving
human
touch,
investing
R&D,
establishing
regulatory
frameworks
within
ethical
guidelines
will
shape
systems.
seamless
integration
systems
benefit
patients
providers.
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON),
Год журнала:
2022,
Номер
unknown, С. 822 - 826
Опубликована: Май 26, 2022
Historically,
progress
in
automation
systems
has
been
motivated
by
the
need
for
collaborative
robots
manufacturing
sector.
There
is
a
technological
adoption
healthcare
Robots
are
best
options
to
help
and
assist
doctors
activities.
The
sector's
lack
of
focus
on
innovations
created
new
opportunities
enhance
service
that
can
patients
dealing
with
their
illnesses
providing
better
solutions.
Humanoid
benefit
increasing
patient's
satisfaction
level.
They
also
perform
precise
surgery
tiny
rooms
transport
hazardous
substances.
This
study
conducted
systematic
literature
review
extracting
articles
from
three
databases.
paper
highlights
critical
role
humanoid
article
discusses
future
trends
health
Bulletin of Rehabilitation Medicine,
Год журнала:
2025,
Номер
24(2), С. 8 - 19
Опубликована: Апрель 19, 2025
INTRODUCTION.
The
consequences
of
perinatal
lesions
the
central
nervous
system
(CNS)
are
one
leading
causes
childhood
disability.
Spasticity
plays
a
role
in
formation
motor
disorders.
An
important
aspect
medical
rehabilitation
children
with
CNS
lesions,
including
premature
infants,
remains
minimal
use
drug
therapy,
this
regard,
main
task
is
to
develop
and
scientifically
substantiate
new
non-drug
technologies
for
rehabilitation.
AIM.
To
study
dynamics
activity
patients
cerebral
palsy
postoperative
period
using
robotic
complex
based
on
functional
scales.
MATERIALS
AND
METHODS.
1
group
(n
=
30)
consisted
20
boys
10
girls,
control
2
17
13
girls.
received
comprehensive
treatment:
mechanotherapy
procedures
at
Lokomat
complex,
individual
therapeutic
gymnastics
procedures,
physiotherapy,
massage,
addition,
some
botulinum
therapy
lower
extremities.
In
group,
addition
standard
program,
classes
were
held
DIEGO
complex.
scales
muscle
strength
scale
(MRC),
Manual
Ability
Classification
System
(MACS),
Ashworth
used
assess
effectiveness
treatment.
RESULTS
DISCUSSION.
On
strength,
proportion
an
increase
point
was
40
%
among
3.3
group;
scale,
decrease
points
—
%,
respectively.
volume
movements
affected
limb
after
course
treatment
training
increased
statistically
significantly
shoulder
joint
during
extension
(p
0.0197),
retraction
0.0216)
reduction
0.0232).
CONCLUSION.
inclusion
additional
program
(GMFCS
II–III
art.)
due
positive
skills
allows
us
recommend
method
as
auxiliary
such
patients.
Electronics,
Год журнала:
2023,
Номер
12(13), С. 2959 - 2959
Опубликована: Июль 5, 2023
With
the
advent
and
rapid
growth
of
automation,
unmanned
ground
vehicles
(UGVs)
have
emerged
as
a
crucial
technology,
with
applications
spanning
various
domains,
from
agriculture
to
surveillance,
logistics,
military
operations.
Alongside
this
surge
in
utilization
robotics,
novel
complications
inevitably
emerge,
posing
intriguing
questions
challenges
academic
technological
sectors.
One
such
pressing
challenge
is
coverage
path
planning
(CPP)
problem,
particularly
notion
optimizing
UGV
energy
during
planning,
significant
yet
relatively
unexplored
aspect
within
research
landscape.
While
numerous
studies
proposed
solutions
CPP
single
UGV,
introduction
multiple
UGVs
environment
reveals
unique
set
challenges.
A
paramount
concern
multi-UGV
effective
allocation
division
area
among
UGVs.
To
address
issue,
we
propose
an
innovative
approach
that
first
segments
into
subareas,
which
are
then
allocated
individual
Our
methodology
employs
fine-tuned
trees
minimize
number
turns
navigation,
resulting
more
efficient
energy-aware
paths.
As
opposed
existing
focusing
on
models
allocate
without
optimization,
our
model
utilizes
terrain-aware
cost
function,
adaptive
replanning
module,
leading
flexible,
effective,
energy-efficient
path-planning
solution.
series
simulations
demonstrated
robustness
efficacy
approach,
highlighting
its
potential
significantly
improve
endurance
mission
effectiveness,
even
challenging
terrain
conditions.
The
solution
provides
substantial
contribution
field
addressing
gap
enhancing
body
knowledge
surrounding
for
scenarios.
Today,
a
collaborative
robotics
is
rapidly
developing
area
due
to
its
applications
in
broad
variety
of
sectors.
Collaborative
robots
(cobots)
are
robots,
which
designed
specifically
work
along
with
humans
common
workspace.
This
article
discusses
modern
cobots
employed
industrial
and
service
Research
activities
associated
used
virtual
environments
real
world
experiments
described.
The
ISO/TS
15066:2016
technical
specifications
followed
by
for
ensuring
safety
human
operators
emphasized.
Nowadays,
robots
are
used
extensively
in
manufacturing
sectors
because
they
improve
quality
and
efficiency
of
production
processes.
Robots
can
perform
various
tasks
autonomously
with
optimal
working
speed
accuracy.
Even
a
fully
autonomous
mode,
human
operator
is
still
needed
to
supervise
operations
resolve
issues,
which
led
an
emergence
the
collaborative
robotics
field.
This
paper
reviews
potential
industrial
employed
for
human-robot
collaboration
explores
solution
strategies
related
safety
during
tasks.
European Radiology Experimental,
Год журнала:
2023,
Номер
7(1)
Опубликована: Июнь 19, 2023
Abstract
Background
Artificial
intelligence
(AI)-powered,
robot-assisted,
and
ultrasound
(US)-guided
interventional
radiology
has
the
potential
to
increase
efficacy
cost-efficiency
of
procedures
while
improving
postsurgical
outcomes
reducing
burden
for
medical
personnel.
Methods
To
overcome
lack
available
clinical
data
needed
train
state-of-the-art
AI
models,
we
propose
a
novel
approach
generating
synthetic
from
real,
preoperative
three-dimensional
(3D)
different
imaging
modalities.
With
data,
trained
deep
learning-based
detection
algorithm
localization
needle
tip
target
anatomy
in
US
images.
We
validated
our
models
on
vitro
data.
Results
The
resulting
generalize
well
unseen
experimental
making
proposed
promising
method
create
AI-based
applications
minimally
invasive
US-guided
procedures.
Moreover,
show
that
by
one-time
calibration
robot
coordinate
frames,
tracking
can
be
used
accurately
fine-position
reach
based
2D
images
alone.
Conclusions
generation
is
sufficient
bridge
simulation-to-real
gap
paucity
challenges
radiology.
shows
very
results
terms
accuracy
frame
rate.
Relevance
statement
This
facilitate
development
next-generation
algorithms
patient
their
application
robotics.
Key
points
•
methods
promise
interventions.
Publicly
available,
annotated
datasets
training
are
limited.
Synthetic,
clinical-like
generated
magnetic
resonance
or
computed
tomography
Models
with
real
Target
an
model
fine
positioning
robot.
Graphical