Healthcare,
Journal Year:
2024,
Volume and Issue:
12(24), P. 2555 - 2555
Published: Dec. 18, 2024
Nurses
are
frontline
caregivers
who
handle
heavy
workloads
and
high-stakes
activities.
They
face
several
mental
health
issues,
including
stress,
burnout,
anxiety,
depression.
The
welfare
of
nurses
the
standard
patient
treatment
depends
on
resolving
this
problem.
Artificial
intelligence
is
revolutionising
healthcare,
its
integration
provides
many
possibilities
in
addressing
these
concerns.
This
review
examines
literature
published
over
past
40
years,
concentrating
AI
nursing
for
support,
improved
care,
ethical
issues.
Using
databases
such
as
PubMed
Google
Scholar,
a
thorough
search
was
conducted
with
Boolean
operators,
narrowing
results
relevance.
Critically
examined
were
publications
artificial
applications
care
ethics,
health,
health.
examination
revealed
that,
by
automating
repetitive
chores
improving
workload
management,
(AI)
can
relieve
challenges
faced
improve
care.
Practical
implications
highlight
requirement
using
rigorous
implementation
strategies
that
address
data
privacy,
human-centred
decision-making.
All
changes
must
direct
to
guarantee
sustained
significant
influence
healthcare.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 27, 2024
Background:
Artificial
intelligence
(AI)
holds
significant
promise
for
transforming
healthcare
delivery,
including
dentistry.
However,
the
successful
integration
of
AI
into
dental
practice
necessitates
an
understanding
professionals'
perspectives,
attitudes,
and
readiness
to
adopt
technology.
This
study
aimed
explore
perceptions,
practices
regarding
adoption
in
Methods:
cross-sectional
was
conducted
among
256
professionals
using
online
questionnaire.
Participants
were
assessed
familiarity
with
technology,
perceived
barriers
adoption,
attitudes
towards
AI,
current
usage
patterns,
factors
influencing
decisions.
Data
are
analysed
descriptive
statistics,
frequencies,
percentages,
means,
standard
deviations.
Inferential
such
as
chi-square
tests
regression
analysis,
employed
examine
associations
between
variables
identify
predictors
Results:
The
surveyed
from
various
regions
across
India,
primarily
aged
30
50
years
(mean
age:
42.6),
a
nearly
equal
gender
split
(male:
48.4%,
female:
51.6%)
high
educational
attainment
(67.8%
master's
or
doctoral
degrees).
Private
predominant
(56.3%).
diagnostic
algorithms
treatment
planning
software
well
known
(77.3%
70.3%
familiarity,
respectively).
Technical
concerns
(average
score:
3.82
±
0.68)
main
followed
by
financial
considerations
3.45
0.72),
ethical
legal
issues
3.21
0.65),
organizational
3.67
0.71).
Despite
these
concerns,
most
participants
had
positive
(70.3%
agreed).
Current
varied,
support
administrative
tasks
being
common
(44.5%
82.8%
usage,
Perceived
utility
4.12
0.75)
ease
use
3.98
0.69)
significantly
influenced
identified
analysis
(perceived
utility:
β
=
0.342,
p
<
0.001;
use:
0.267,
0.005).
Conclusion:
provides
valuable
insights
dentistry,
highlighting
multifaceted
nature
facilitators
that
influence
professionals’
Strategies
promote
should
address
practical
considerations,
needs
facilitate
technology
practices.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 5, 2024
Prostate
cancer
remains
a
significant
global
health
challenge,
characterized
by
high
incidence
and
substantial
morbidity
mortality
rates.
Early
detection
is
critical
for
improving
patient
outcomes,
yet
current
diagnostic
methods
have
limitations
in
accuracy
reliability.
Artificial
intelligence
(AI)
has
emerged
as
promising
tool
to
address
these
challenges
prostate
care.
AI
technologies,
including
machine
learning
algorithms
advanced
imaging
techniques,
offer
potential
solutions
enhance
accuracy,
optimize
treatment
strategies,
personalize
This
review
explores
the
landscape
of
applications
diagnostics,
highlighting
state-of-the-art
tools
their
clinical
implications.
By
synthesizing
recent
advancements
discussing
future
directions,
underscores
transformative
revolutionizing
diagnosis
management.
Ultimately,
integrating
into
practice
can
potentially
improve
outcomes
quality
life
patients
affected
cancer.
International Nursing Review,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 15, 2024
Abstract
Aim
To
explore
the
ethical
considerations
and
challenges
faced
by
nursing
professionals
in
integrating
artificial
intelligence
(AI)
into
patient
care.
Background
AI's
integration
practice
enhances
clinical
decision‐making
operational
efficiency
but
raises
concerns
regarding
privacy,
accountability,
informed
consent,
preservation
of
human‐centered
Methods
A
systematic
review
was
conducted,
following
Preferred
Reporting
Items
for
Systematic
Reviews
Meta‐Analyses
(PRISMA)
guidelines.
Thirteen
studies
were
selected
from
databases
including
PubMed,
Embase,
IEEE
Xplore,
PsycINFO,
CINAHL.
Thematic
analysis
identified
key
themes
related
to
AI
use
nursing.
Results
The
highlighted
critical
challenges,
such
as
data
privacy
security,
accountability
AI‐driven
decisions,
transparency
decision‐making,
maintaining
human
touch
findings
underscore
importance
stakeholder
engagement,
continuous
education
nurses,
robust
governance
frameworks
guide
implementation
Discussion
results
align
with
existing
literature
on
complexities
healthcare.
Addressing
these
requires
strengthening
competencies
AI,
advocating
patient‐centered
design,
ensuring
that
upholds
standards.
Conclusion
Although
offers
significant
benefits
practice,
it
also
introduces
must
be
carefully
managed.
Enhancing
education,
promoting
developing
comprehensive
policies
are
essential
ethically
Implications
can
improve
efficiency,
nurses
actively
preserve
humanistic
care
aspects
through
ongoing
involvement
governance.
Health
Policy
Establish
protection
tailored
Support
professional
development
allocate
resources
Healthcare,
Journal Year:
2024,
Volume and Issue:
12(24), P. 2555 - 2555
Published: Dec. 18, 2024
Nurses
are
frontline
caregivers
who
handle
heavy
workloads
and
high-stakes
activities.
They
face
several
mental
health
issues,
including
stress,
burnout,
anxiety,
depression.
The
welfare
of
nurses
the
standard
patient
treatment
depends
on
resolving
this
problem.
Artificial
intelligence
is
revolutionising
healthcare,
its
integration
provides
many
possibilities
in
addressing
these
concerns.
This
review
examines
literature
published
over
past
40
years,
concentrating
AI
nursing
for
support,
improved
care,
ethical
issues.
Using
databases
such
as
PubMed
Google
Scholar,
a
thorough
search
was
conducted
with
Boolean
operators,
narrowing
results
relevance.
Critically
examined
were
publications
artificial
applications
care
ethics,
health,
health.
examination
revealed
that,
by
automating
repetitive
chores
improving
workload
management,
(AI)
can
relieve
challenges
faced
improve
care.
Practical
implications
highlight
requirement
using
rigorous
implementation
strategies
that
address
data
privacy,
human-centred
decision-making.
All
changes
must
direct
to
guarantee
sustained
significant
influence
healthcare.
