The Role of Artificial Intelligence in the Diagnosis and Management of Rheumatoid Arthritis
Medicina,
Год журнала:
2025,
Номер
61(4), С. 689 - 689
Опубликована: Апрель 9, 2025
Background
and
Objectives:
Artificial
intelligence
has
emerged
as
a
transformative
tool
in
healthcare,
offering
capabilities
such
early
diagnosis,
personalised
treatment,
real-time
patient
monitoring.
In
the
context
of
rheumatoid
arthritis,
chronic
autoimmune
disease
that
demands
timely
intervention,
artificial
shows
promise
overcoming
diagnostic
delays
optimising
management.
This
study
examines
role
diagnosis
management
focusing
on
perceived
benefits,
challenges,
acceptance
levels
among
healthcare
professionals
patients.
Materials
Methods:
A
cross-sectional
was
conducted
using
detailed
questionnaire
distributed
to
205
participants,
including
rheumatologists,
general
practitioners,
arthritis
patients
from
Romania.
The
used
descriptive
statistics,
chi-square
tests,
logistic
regression
analyse
AI
rheumatology.
Data
visualisation
multiple
imputations
addressed
missing
values,
ensuring
accuracy.
Statistical
significance
set
at
p
<
0.05
for
hypothesis
testing.
Results:
Respondents
with
prior
experience
it
more
useful
RA
(p
0.001).
Familiarity
concepts
positively
correlated
routine
rheumatology
practice
(ρ
=
1.066,
main
barriers
identified
were
high
costs
(36%),
lack
medical
staff
training
(37%),
concerns
regarding
accuracy
(21%).
Although
less
frequently
mentioned,
data
privacy
remained
relevant
subset
respondents.
revealed
could
improve
monitoring,
being
valuable
by
familiar
digital
technologies.
However,
42%
participants
cited
standardisation
across
systems
major
barrier,
underscoring
need
effective
interoperability
solutions.
Conclusions:
potential
revolutionise
through
faster
accurate
diagnoses,
treatments,
optimised
Nevertheless,
challenges
costs,
training,
be
ensure
efficient
integration
into
clinical
practice.
Educational
programmes
interdisciplinary
collaboration
are
essential
increase
adoption
Язык: Английский
Perception of Simulation and Virtual Reality (VR) in Surgery in the Public Sector Tertiary Care Teaching Hospitals of Southern Punjab, Pakistan: A Cross-Sectional Survey
Cureus,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 21, 2025
Background:
The
use
of
virtual
simulation
(VS)-based
institutional
practices
is
increasing
with
a
gradual
shift
in
the
incorporation
latest
technology
such
as
reality
(VR)
and
artificial
intelligence
(AI)
medical
education.
Our
cross-sectional
study
aimed
to
evaluate
perception
practice
VR
among
professionals
surgery.
It
was
also
identify
how
their
integration
would
affect
surgical
practice,
including
significance
acceptance
relevant
stakeholders.
Materials
methods:
A
pre-designed
questionnaire
filled
by
218
participants,
from
all
four
public
sector
tertiary
care
teaching
hospitals
southern
Punjab
region
Pakistan.
sample
size
calculated
5%
margin
error
an
80%
confidence
interval.
included
sections
on
perception,
familiarity,
effectiveness
integrating
into
practice.
survey
performed
January
1,
2025,
31,
2025.
Data
collected
through
online
platforms
(Google
Forms,
Google
LLC,
Mountain
View,
CA),
hard
copies.
analyzed
IBM
SPSS
Statistics,
version
20
(IBM
Corp.,
Armonk,
NY)
submitted
responses
were
represented
terms
percentage
frequency.
Results:
Among
76.61%
(n=167)
showed
familiarity
VR,
54.50%
(n=119)
reported
limited
realism
high
cost
challenges
for
implementing
VR.
All
participants
(100%)
lack
availability
institutions.
81.80%
(n=201)
confirmed
improvement
skills,
decreased
errors,
increased
performance
using
Spearman's
rank-order
correlation
positive
relationship
(rs=0.159)
statistically
significant
result
(p=0.019).
Conclusion:
Despite
limitations,
training
curriculum
should
be
prioritized
allocation
funds
supervisors.
Competencies
trainees
signed
off
specified
time
rehearsal
before
practical
implications.
Язык: Английский