Journal of Multidisciplinary Healthcare,
Год журнала:
2025,
Номер
Volume 18, С. 623 - 635
Опубликована: Фев. 1, 2025
Background
and
Aim:
As
the
integration
of
artificial
intelligence
(AI)
in
healthcare
delivery
becomes
increasingly
prevalent,
understanding
knowledge,
attitudes,
practices
health
science
students
towards
AI
is
crucial.
However,
limited
evidence
exists
regarding
readiness
students,
particularly
northern
Saudi
Arabia
(KSA),
to
integrate
into
their
future
practices,
highlighting
need
for
focused
evaluation.
We
evaluated
students'
attitude,
practice,
associated
factors
toward
AI.
Participants
Methods:
The
present
cross-sectional
study
was
conducted
among
384
aged
18
years
above
from
Jouf
University,
KSA.
employed
a
validated
data
collection
form
with
four
sections:
demographics,
knowledge
(AI
principles
applications),
attitudes
(perceptions
ethical
concerns),
(usage
confidence
tools).
three
domains'
scores
were
categorized
as
low
(<
60%),
medium
(60–
80%)
high
(>
based
on
total
scores.
utilized
Spearman
correlation
test
ascertain
strength
direction
each
subscale.
Additionally,
multivariate
analysis
identify
factors.
Results:
demonstrated
55.7%,
37.0%,
50.3%
students.
observed
positive
between
attitude
(rho
=
0.451,
p
0.001),
practice
0.353,
0.651,
0.001).
Knowledge
(p
0.001)
0.002)
significantly
higher
who
participated
formal
training
program.
Females
had
level
0.030)
than
males.
Conclusion:
In
light
these
findings,
refining
curriculum
incorporate
emerges
critical
strategy
addressing
gaps
Therefore,
integrated
programs
tailored
suit
local
setting
can
effectively
prepare
adopt
technologies
ways
that
enhance
patient
care.
Keywords:
intelligence,
Vision
2030,
refinement,
program,
nursing,
Medical Teacher,
Год журнала:
2024,
Номер
46(4), С. 446 - 470
Опубликована: Фев. 29, 2024
Background
Artificial
Intelligence
(AI)
is
rapidly
transforming
healthcare,
and
there
a
critical
need
for
nuanced
understanding
of
how
AI
reshaping
teaching,
learning,
educational
practice
in
medical
education.
This
review
aimed
to
map
the
literature
regarding
applications
education,
core
areas
findings,
potential
candidates
formal
systematic
gaps
future
research.
Computers and Education Artificial Intelligence,
Год журнала:
2023,
Номер
4, С. 100143 - 100143
Опубликована: Янв. 1, 2023
Artificial
Intelligence
(AI)
is
prevalent
in
nearly
every
aspect
of
our
lives.
However,
recent
studies
have
found
a
significant
amount
confusion
and
misunderstanding
surrounding
AI.
To
develop
effective
educational
programs
the
field
AI,
it
vital
to
examine
understand
learners'
pre-
misconceptions
as
well
myths
about
This
study
examined
corpus
591
studies.
25
relevant
were
identified
by
applying
following
eligibility
criteria:
English-written
original
empirical
research
on
education
AI
reporting
conceptions
formal
learning
context.
The
review
from
six
continents,
with
majority
conducted
Europe
North
America.
predominantly
focus
school
university
levels.
Findings
reveal
range
preconceptions,
misconceptions,
such
as:
Learners
often
limited
understanding
technical
level.
They
tend
attribute
human-like
characteristics
or
attributes
systems
may
narrow
views
AI's
scope,
capabilities,
limitations.
also
shows
that
learners
binary
unspecific
threats,
dangers,
benefits
Effective
are
key
empower
thus
helping
them
make
informed
decisions
integration
society,
rather
than
being
swayed
misinformation
unnecessary
fear.
help
inform
development
more
teaching
outreach
strategies
education.
BMC Medical Informatics and Decision Making,
Год журнала:
2023,
Номер
23(1)
Опубликована: Дек. 14, 2023
The
integration
of
Artificial
Intelligence
(AI)
in
medical
education
and
practice
is
a
significant
development.
This
study
examined
the
Knowledge,
Attitudes,
Practices
(KAP)
health
professions'
students
Jordan
concerning
AI,
providing
insights
into
their
preparedness
perceptions.
BMC Medical Education,
Год журнала:
2024,
Номер
24(1)
Опубликована: Апрель 15, 2024
Abstract
Background
Nowadays,
Artificial
intelligence
(AI)
is
one
of
the
most
popular
topics
that
can
be
integrated
into
healthcare
activities.
Currently,
AI
used
in
specialized
fields
such
as
radiology,
pathology,
and
ophthalmology.
Despite
advantages
AI,
fear
human
labor
being
replaced
by
this
technology
makes
some
students
reluctant
to
choose
specific
fields.
This
meta-analysis
aims
investigate
knowledge
attitude
medical,
dental,
nursing
experts
field
about
its
application.
Method
study
was
designed
based
on
PRISMA
guidelines.
PubMed,
Scopus,
Google
Scholar
databases
were
searched
with
relevant
keywords.
After
selection
according
inclusion
criteria,
data
extracted
for
meta-analysis.
Result
Twenty-two
studies
included
8491
participants
The
pooled
analysis
revealed
a
proportion
0.44
(95%CI
=
[0.34,
0.54],
P
<
0.01,
I2
98.95%)
knowledge.
Moreover,
0.65
[0.55,
0.75],
99.47%).
did
not
show
any
publication
bias
symmetrical
funnel
plot.
Conclusion
Average
levels
indicate
necessity
including
educational
programs
student’s
academic
curriculum.
positive
promises
acceptance
technology.
However,
dealing
ethics
education
aspects
human-AI
cooperation
are
discussed.
Future
longitudinal
could
follow
provide
more
guide
how
incorporated
education.
Introduction
Worldwide,
healthcare
systems
aim
to
achieve
the
best
possible
quality
of
care
at
an
affordable
cost
while
ensuring
broad
access
for
all
populations.
The
use
artificial
intelligence
(AI)
in
holds
promise
address
these
challenges
through
integration
real-world
data-driven
insights
into
patient
processes.
This
study
aims
assess
nurses’
awareness
and
attitudes
toward
AI-integrated
tools
used
clinical
practice.
Methods
A
descriptive
cross-sectional
design
captured
responses
three
governmental
hospitals
Saudi
Arabia
by
using
online
questionnaire
administered
over
4
months.
involved
220
registered
nurses
with
a
minimum
one
year
experience,
selected
convenience
sampling
method.
survey
consisted
sections:
demographic
information,
assessment
AI
knowledge,
general
scale.
Results
Nurses
displayed
“moderate”
levels
technology,
70.9%
having
basic
information
about
only
58.2%
(128
nurses)
were
considered
“aware”
as
they
dealt
its
applications.
expressed
openness
(
M
=
3.51)
on
side,
but
also
had
some
concerns
AI.
conservative
AI,
significant
differences
observed
based
gender
(χ²
4.67,
p
<
0.05).
Female
exhibited
higher
proportion
negative
compared
male
nurses.
Significant
found
age
9.31,
0.05),
younger
demonstrating
more
positive
their
older
counterparts.
Educational
background
yields
6.70,
holding
undergraduate
degrees
exhibiting
highest
attitudes.
However,
years
nursing
experience
did
not
reveal
variations
Conclusion
Healthcare
administrators
need
work
increasing
applications
emphasize
importance
integrating
such
technology
use.
Moreover,
addressing
AI's
control
discomfort
is
crucial,
especially
considering
generational
differences,
often
technology.
Change
management
strategies
may
help
overcome
any
hindrances.
PLoS ONE,
Год журнала:
2024,
Номер
19(3), С. e0296884 - e0296884
Опубликована: Март 1, 2024
Modern
patient
care
depends
on
the
continuous
improvement
of
community
and
clinical
pharmacy
services,
artificial
intelligence
(AI)
has
potential
to
play
a
key
role
in
this
evolution.
Although
AI
been
increasingly
implemented
various
fields
pharmacy,
little
is
known
about
knowledge,
attitudes,
practices
(KAP)
students
faculty
members
towards
technology.
BMC Medical Education,
Год журнала:
2025,
Номер
25(1)
Опубликована: Янв. 17, 2025
The
rapid
advancement
of
artificial
intelligence
(AI)
has
revolutionized
both
medical
education
and
healthcare
by
delivering
innovative
tools
that
enhance
learning
improve
overall
outcomes.
study
aimed
to
assess
students'
perceptions
regarding
the
credibility
effectiveness
AI
as
a
tool
explore
dynamics
integrating
in
education.
A
cross-sectional
was
carried
out
across
colleges
Pakistan.
26-question
survey
developed
using
Google
Forms
from
previously
validated
studies.
assessed
demographics
participants,
basic
understanding
AI,
socio-ethical
impacts
use
AI.
data
analyzed
SPSS
(v
26.0)
derive
descriptive
inferential
statistics.
total
702
students
aged
18
26
years
(mean
age
20.50
±
1.6
years)
participated
study.
findings
revealed
generally
favorable
attitude
towards
among
(80.3%),
with
majority
considering
it
an
effective
(60.8%)
credible
(58.4%)
Students
agreed
optimized
their
time
(60.3%)
provided
up-to-date
information
(63.1%).
Notably,
65.7%
found
more
efficient
helping
them
grasp
concepts
compared
traditional
like
books
lectures,
while
66.8%
reported
receiving
accurate
answers
inquiries
through
highlighted
view
becoming
increasingly
outdated
(59%),
emphasizing
importance
into
creating
dedicated
(80%)
for
This
demonstrated
is
education,
offering
personalized
experiences
improved
educational
are
learn
cutting
down
on
study-time,
providing
answers,
ultimately
improving
We
recommend
developing
formal
integration
curricula,
along
appropriate
regulatory
oversight
ensure
can
human
abilities
rather
than
acting
replacement
humans.
The
healthcare
industry
has
made
significant
progress
in
information
technology,
which
improved
procedures
and
brought
about
advancements
clinical
care
services.
This
includes
gathering
crucial
data
implementing
intelligent
health
management.
Artificial
Intelligence
(AI)
the
potential
to
bolster
further
existing
systems,
notably
electronic
records
(EHRs).
With
AI,
EHRs
can
offer
more
customized
adaptable
roles
for
patients.
study
aims
delve
into
current
uses
of
AI
examine
obstacles
that
come
with
it.In
this
study,
we
employed
a
qualitative
methodology
purposive
sampling
select
participants.
We
sought
out
clinicians
who
were
eager
share
their
professional
insights.
Our
research
involved
conducting
three
focus
group
interviews,
each
lasting
an
hour.
moderator
began
session
by
introducing
study's
goals
assuring
participants
confidentiality
foster
collaborative
environment.
facilitator
asked
open-ended
questions
EHR,
including
its
applications,
challenges,
AI-assisted
features.The
conducted
26
identified
five
areas
using
delivery.
These
include
predictive
analysis,
decision
support
visualization,
natural
language
processing
(NLP),
patient
monitoring,
mobile
future
emerging
trends.
However,
hype
surrounding
fact
technology
is
still
early
stages
pose
challenges.
Technical
limitations
related
context-specific
reasoning
must
be
addressed.
Furthermore,
medico-legal
challenges
arise
when
supports
or
autonomously
delivers
Governments
develop
strategies
ensure
AI's
responsible
transparent
application
delivery.AI
revolutionize
through
integration
other
technologies.
several
addressed
before
fully
realized.
development
testing
complex
EHR
systems
utilize
approached
accuracy
trustworthiness
decision-making
treatment.
Additionally,
there
need
navigate
obligations
benefits
are
equitably
distributed.
Heliyon,
Год журнала:
2023,
Номер
9(4), С. e14744 - e14744
Опубликована: Март 23, 2023
The
use
of
artificial
intelligence
(AI)
in
the
medical
field
is
increasing
and
expected
to
shape
future
clinical
practice
job
security.
Therefore,
this
study
aimed
assess
opinions
attitudes
practicing
physicians
Bahrain
regarding
benefits
drawbacks
AI
for
their
daily
practice.
A
cross-sectional
survey
with
a
minimum
five
years'
experience
across
main
secondary
tertiary
care
hospitals
was
conducted.
An
online
questionnaire
used
collect
data
on
demographics,
knowledge
AI,
towards
10
tasks
practice,
AI.
total
114
participated
survey.
Among
them,
43
(37.7%)
were
registered
psychiatrists,
15
(13.2%)
pathologists,
17
(14.9%)
radiologists,
39
(34.2%)
surgical
specialists.
participants'
overall
positive
Pathologists
particularly
favor
using
"Formulate
personalized
medication
and/or
treatment
plans
patients"
"Interview
patients
range
settings
obtain
history."
Most
participants
agreed
that
would
reduce
time
needed
establish
diagnosis
negatively
affect
employment
rates.
There
no
correlations
between
responses
age,
gender,
years
experience,
or
knowledge.
This
demonstrates
medicine
among
are
similar
those
developed
countries
they
welcoming
implementation
However,
potential
effects
security
major
concern.
Nigerian Postgraduate Medical Journal,
Год журнала:
2023,
Номер
30(4), С. 285 - 292
Опубликована: Окт. 1, 2023
Abstract
Background:
The
impact
of
artificial
intelligence
(AI)
has
been
compared
to
that
the
Internet
and
printing,
evoking
both
apprehension
anticipation
in
an
uncertain
world.
Objective:
This
study
aimed
explore
perceptions
medical
students
faculty
members
from
ten
universities
across
Nigeria
regarding
AI.
Methods:
Using
Google
Forms
WhatsApp,
a
cross-sectional
online
survey
was
administered
clinical
year
their
lecturers
schools
representing
all
six
geopolitical
zones
Nigeria.
Results:
received
1003
responses,
which
708
(70.7%)
were
294
(29.3%)
lecturers.
Both
groups
displayed
average
level
knowledge,
with
(Median:4,
range
−5
12)
significantly
outperforming
(Median:3,
15).
Social
media
(61.2%)
most
common
form
first
contact
Participants
demonstrated
favourable
attitude
towards
AI,
median
score
6.8
out
10.
Grammar
checkers
(62.3%)
commonly
reported
AI
tool
used,
while
ChatGPT
(43.6%)
frequently
mentioned
dedicated
tool.
Students
more
likely
than
have
used
tools
past
but
<5%
had
prior
training.
Excitement
about
potential
slightly
outweighed
concerns
future
risks.
A
higher
proportion
believed
could
dehumanise
health
care
(70.6%
vs.
60.8%),
render
physicians
redundant
(57.6%
34.7%),
diminish
physicians’
skills
(79.3%
71.3%)
ultimately
harm
patients
(28.6%
20.6%).
Conclusion:
simultaneous
fascination
observed
among
our
mirrors
global
trend.
finding
particularly
evident
who,
despite
possessing
greater
knowledge
lecturers,
did
not
exhibit
corresponding
reduction
fear
