Precision Management in Chronic Disease: An AI Empowered Perspective on Medicine-Engineering Crossover
iScience,
Год журнала:
2025,
Номер
28(3), С. 112044 - 112044
Опубликована: Фев. 17, 2025
Язык: Английский
The Role of Personality Traits in Nursing Students’ Attitudes Toward Artificial Intelligence
Cureus,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 11, 2025
This
study
assesses
nursing
students'
attitudes
toward
artificial
intelligence
(AI)
and
examines
the
role
of
personality
traits
in
shaping
these
attitudes.
Methods:
A
cross-sectional
was
conducted
which
159
students
from
University
Thessaly
participated.
Data
were
collected
using
General
Attitudes
Toward
Artificial
Intelligence
Scale
(GAAIS)
to
measure
AI
Ten
Item
Personality
Inventory
(TIPI)
assess
traits.
Statistical
analysis
included
descriptive
inferential
methods,
such
as
correlation
factor
analysis.
The
significant
level
set
p<0.05.
Results:
findings
revealed
moderately
positive
(mean
attitude
score:
3.22
out
5).
Extraversion
openness
experience
positively
correlated
with
attitudes,
while
maternal
education
significantly
associated
lower
negative
Conclusion:
Nursing
demonstrate
a
cautious
optimism
AI,
playing
key
their
perceptions.
Addressing
concerns
about
through
targeted
educational
programs
could
enhance
confidence
willingness
adopt
professional
practice.
These
emphasize
importance
integrating
into
curricula
bridge
knowledge
gaps
promote
effective
use
technologies
healthcare.
Язык: Английский
The Application of AI in Clinical Nursing, Yields Several Advantageous Outcomes
Indus journal of bioscience research.,
Год журнала:
2025,
Номер
3(2), С. 591 - 599
Опубликована: Март 6, 2025
AI
applications
in
nursing
practice
deliver
transformative
improvements
for
patient
care
while
reducing
workflow
disruptions
and
serving
healthcare
workers
better.
This
research
explores
how
helps
professionals
through
clinical
decision
systems
as
well
observation
workload
optimization
mental
health
resource
delivery.
Through
their
integration
of
support
tools
predictive
analytics
along
with
automation
technologies
experience
better
efficiency
together
lower
administrative
burdens
improved
safety.
The
use
delivers
individualized
to
nurses
that
enable
them
protect
themselves
from
burnout
stress.
adoption
technology
faces
crucial
ethical
obstacles
include
privacy
risks
related
information
systemic
bias
within
algorithms
social
repercussions
deployment.
complete
benefits
depend
on
an
equilibrium
between
technological
progress
patient-focused
approaches.
future
success
depends
the
education
into
curricula
preparation
AI-driven
environments.
demonstrates
enables
transformation
but
calls
monitoring
practices
continuous
assessment
produce
fair
effective
deployment
outcomes.
Язык: Английский