Innovative Surgical Sciences,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 29, 2024
Abstract
Objectives
The
integration
of
advanced
technologies
is
transforming
surgical
practice,
particularly
through
robotic
systems.
This
study
presents
the
early
clinical
implementation
Dexter
®
robot
for
cholecystectomy
and
evaluates
outcomes
using
IDEAL
framework.
Methods
Twenty
patients
underwent
elective
robotic-assisted
robot.
A
thorough
process,
including
rigorous
surgeon
nurse
training
standardized
care
protocols,
was
established.
Data
on
operative
metrics,
complications,
patient
were
analyzed,
well-being
assessed
via
a
postoperative
phone
survey.
Results
Six
surgeons
thirty
nurses
trained,
with
completing
minimum
20
h
simulation.
Preoperative
times
significantly
reduced
this
process.
Comparing
first
10
operations
to
second,
docking
time
decreased
from
11.4
±
4.1
min
7.1
2.1
(p=0.0144)
improved
130.5
25.7
99.7
21.8
(p=0.0134).
Mean
intraoperative
blood
loss
minimal,
averaging
19.5
31.4
mL,
average
length
hospital
stay
3.1
1.4
days.
Postoperative
pain
levels
low,
satisfaction
high,
as
by
telephone
Conclusions
Our
findings
highlight
value
framework
in
guiding
systematic
evaluation
new
such
structured
approach
essential
improve
safety
coming
digital
transformation
surgery.
Advances in computer and electrical engineering book series,
Год журнала:
2024,
Номер
unknown, С. 199 - 211
Опубликована: Июнь 30, 2024
Extending
reality
technology
will
be
a
common
tool
in
the
future.
Virtual
(VR)
and
augmented
(AR)
used
by
people
for
work,
leisure,
variety
of
other
purposes.
Utilizing
pictures
to
aid
surgery
as
well
medical
education,
has
developed
throughout
time.
Furthermore,
majority
research
is
devoted
clinical
applications,
most
being
or
intervention,
followed
applications
rehabilitation
therapy.
An
extensive
body
also
examined
application
training
teaching.
Advances in medical technologies and clinical practice book series,
Год журнала:
2024,
Номер
unknown, С. 365 - 392
Опубликована: Сен. 20, 2024
The
advent
of
computer-aided
technologies
is
revolutionizing
the
field
medicinal
analysis,
paving
way
for
unprecedented
advancements
in
healthcare.
This
paper
explores
integration
cutting-edge
computational
tools
development
and
assessment
pharmaceuticals.
By
leveraging
artificial
intelligence,
machine
learning,
sophisticated
data
analytics,
researchers
can
now
predict
drug
interactions,
optimize
molecular
designs,
personalize
treatment
plans
with
remarkable
precision.
These
facilitate
faster,
more
efficient
discovery
processes
enhance
accuracy
diagnostic
procedures.
Furthermore,
ability
to
analyze
vast
datasets
real-time
contributes
a
deeper
understanding
disease
mechanisms
patient
responses.
comprehensive
review
highlights
transformative
impact
these
innovations,
underscoring
their
potential
significantly
improve
clinical
outcomes
care.
Advances in medical diagnosis, treatment, and care (AMDTC) book series,
Год журнала:
2024,
Номер
unknown, С. 275 - 300
Опубликована: Окт. 11, 2024
An
extensive
variety
of
etiologies,
including
trauma
and
chronic
health
issues,
can
result
in
peripheral
nerve
injuries.
These
injuries
provide
significant
hurdles
regarding
clinical
care
the
eventual
restoration
usual
ability.
In
response
to
these
obstacles,
nanoparticles
have
become
a
viable
therapeutic
approach
that
has
potential
accelerate
regeneration.
This
chapter
includes
thorough
examination
categories
synthetic
processes
related
nanoparticles.
Here,
will
illustrate
critical
role
play
advancing
field
regeneration
through
this
comprehensive
investigation.
Innovative Surgical Sciences,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 29, 2024
Abstract
Objectives
The
integration
of
advanced
technologies
is
transforming
surgical
practice,
particularly
through
robotic
systems.
This
study
presents
the
early
clinical
implementation
Dexter
®
robot
for
cholecystectomy
and
evaluates
outcomes
using
IDEAL
framework.
Methods
Twenty
patients
underwent
elective
robotic-assisted
robot.
A
thorough
process,
including
rigorous
surgeon
nurse
training
standardized
care
protocols,
was
established.
Data
on
operative
metrics,
complications,
patient
were
analyzed,
well-being
assessed
via
a
postoperative
phone
survey.
Results
Six
surgeons
thirty
nurses
trained,
with
completing
minimum
20
h
simulation.
Preoperative
times
significantly
reduced
this
process.
Comparing
first
10
operations
to
second,
docking
time
decreased
from
11.4
±
4.1
min
7.1
2.1
(p=0.0144)
improved
130.5
25.7
99.7
21.8
(p=0.0134).
Mean
intraoperative
blood
loss
minimal,
averaging
19.5
31.4
mL,
average
length
hospital
stay
3.1
1.4
days.
Postoperative
pain
levels
low,
satisfaction
high,
as
by
telephone
Conclusions
Our
findings
highlight
value
framework
in
guiding
systematic
evaluation
new
such
structured
approach
essential
improve
safety
coming
digital
transformation
surgery.
