ObjectiveIn
recent
years,
there
has
been
a
rapid
increase
in
studies
on
the
use
of
artificial
intelligence
dentistry
and
maxillofacial
surgery.
This
study
aimed
to
evaluate
knowledge
attitudes
dental
intern
students
regarding
oral
surgery.Material
MethodsA
37-question
survey
was
designed
by
researchers
measure
participants'
knowledge,
opinions
about
The
surveys
were
administered
face
at
university's
faculty
dentistry.ResultsA
total
144
(88
female,
56
male;
mean
age
23.02±0.89
years)
responded
with
response
rate
97.29%.
29.6
said
they
had
basic
technologies,
58.5%
aware
They
stated
that
mostly
obtain
information
through
social
media,
media
web
browsing,
respectively.
Students
showed
positive
attitude,
expressing
thought
would
improve
Only
38.2%
concerned
replace
surgeons
future.
94.6%
wanted
receive
training
applications,
99.3%
practices.ConclusionAlthough
do
not
have
sufficient
seem
eager
learn
their
applications.
In
order
for
future
dentists
be
knowledgeable
prepared
intelligence,
pre-
post-graduation
opportunities
should
provided.
BMC Psychology,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: May 8, 2024
Abstract
Background
In
recent
years,
the
use
of
artificial
intelligence
(AI)
in
education
has
increased
worldwide.
The
launch
ChatGPT-3
posed
great
challenges
for
higher
education,
given
its
popularity
among
university
students.
present
study
aimed
to
analyze
attitudes
students
toward
ChatGPTs
their
academic
activities.
Method
This
was
oriented
a
quantitative
approach
and
had
nonexperimental
design.
An
online
survey
administered
499
participants.
Results
findings
this
revealed
significant
association
between
various
factors
ChatGPT.
beta
coefficients
responsible
(β=0.806***),
intention
frequently
(β=0.509***),
acceptance
(β=0.441***)
suggested
that
these
are
strongest
predictors
positive
attitude
presence
emotions
(β=0.418***)
also
plays
role.
Conversely,
risk
(β=-0.104**)
boredom
(β=-0.145**)
demonstrate
negative
yet
less
decisive
influence.
These
results
provide
an
enhanced
understanding
how
perceive
utilize
ChatGPTs,
supporting
unified
theory
user
behavior
educational
technology
contexts.
Conclusion
Ease
use,
frequently,
acceptance,
verify
information
influenced
behavioral
ChatGPT
responsibly.
On
one
hand,
provides
suggestions
HEIs
improve
curricula
take
advantage
potential
benefits
AI
contribute
literacy.
BMC Medical Education,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: April 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.
Journal of Taibah University Medical Sciences,
Journal Year:
2024,
Volume and Issue:
19(2), P. 327 - 337
Published: Jan. 17, 2024
This
research
was
aimed
at
assessing
comprehension,
attitudes,
and
perspectives
regarding
artificial
intelligence
(AI)
in
dentistry.
The
null
hypothesis
a
lack
of
foundational
understanding
AI
International Journal for Educational Integrity,
Journal Year:
2024,
Volume and Issue:
20(1)
Published: June 18, 2024
Abstract
Artificial
intelligence
(AI)
has
been
integrated
into
higher
education
(HE),
offering
numerous
benefits
and
transforming
teaching
learning.
Since
its
launch,
ChatGPT
become
the
most
popular
learning
model
among
Generation
Z
college
students
in
HE.
This
study
aimed
to
assess
knowledge,
concerns,
attitudes,
ethics
of
using
HE
Peru.
An
online
survey
was
administered
201
with
prior
experience
for
academic
activities.
Two
six
proposed
hypotheses
were
confirmed:
Perceived
Ethics
(B
=
0.856)
Student
Concerns
0.802).
The
findings
suggest
that
students’
knowledge
positive
attitudes
toward
do
not
guarantee
effective
adoption
use.
It
is
important
investigate
how
optimism,
skepticism,
or
apathy
AI
develop
these
influence
intention
use
technologies
such
as
settings.
dependence
on
raises
ethical
concerns
must
be
addressed
responsible
programs
No
sex
age
differences
found
relationship
between
ChatGPTs
perceived
students.
However,
further
studies
diverse
samples
are
needed
determine
this
relationship.
To
promote
HE,
institutions
comprehensive
training
programs,
guidelines,
policies
address
issues
integrity,
privacy,
misinformation.
These
initiatives
should
aim
educate
university
teachers
other
AI-based
tools,
fostering
a
culture
leverage
mitigate
potential
risks,
lack
integrity.
BMC Medical Education,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 6, 2025
Artificial
intelligence
(AI)
has
gained
significant
attention
in
dentistry
due
to
its
potential
revolutionize
practice
and
improve
patient
outcomes.
However,
dentists'
views
attitudes
toward
technology
can
affect
the
application
of
AI.
This
perception
attitude
be
affected
by
personality
traits
individuals.
study
aims
evaluate
perceptions
students
cross-sectional
was
conducted
on
dental
at
Ordu
University
Faculty
Dentistry,
involving
a
sample
83
students.
The
utilized
Big
Five
50
Test
5-point
Likert
scale
gather
data
20
statements
regarding
AI
dentistry.
Data
were
analyzed
using
IBM
SPSS
Statistics
software,
chi-square
test
employed
assess
relationship
between
their
towards
artificial
intelligence,
as
well
gender
intelligence.
Statistical
significance
set
P
<
0.05.
involved
participants,
with
29
male
54
female
participants.
most
common
Openness
Agreeableness,
whereas
least
Extraversion.
Participants
found
useful
believed
it
could
help
dentists
radiographs.
agreed
statement
that
they
would
trust
more
than
dentist
evaluating
radiograph
results.
A
statistically
difference
personal
expressions
comparing
Males
familiar
females.
vary
based
traits.
Developing
educational
strategies
tailored
these
foster
positive
integration
into
practice.
International Journal of Accounting and Information Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 6, 2025
Purpose
This
study
aims
to
explore
the
adoption
of
FinTech
payment
services
among
women.
It
assesses
phenomenon
through
impact
personality
traits
and
financial
knowledge
investigates
moderated-mediation
role
artificial
intelligence.
Design/methodology/approach
Adopting
technology
acceptance
model,
this
implied
a
quantitative
survey
collect
data
from
women
(
N
=
220).
The
relationship
variables
were
assessed
Hayes’
PROCESS
moderation-mediation
with
robustness
check
structural
equation
modeling
(SEM)
that
substantiates
study’s
findings.
Findings
results
showed
high
agreeableness
openness
are
inclined
use
services.
Moreover,
high-level
banking
usage
positively
correlated
In
addition,
intelligence
influences
Practical
implications
offers
policymakers
roadmap
make
more
accessible
will
advance
progress
toward
United
Nations’
Sustainable
Development
Goals
on
gender
equality
innovation.
Social
reinforces
prospect
women’s
empowerment
FinTech,
paving
way
prospective
mechanism
for
complete
shift
digitalization
economy
promote
economic
transparency.
Originality/value
To
best
authors’
knowledge,
is
amongst
first
studies
big-five
in
enhancing
innovative
nature
promotes
inclusion
female
population
opens
up
new
research
avenues
adoption.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 7, 2024
Background:
Dentistry
is
one
of
the
unique
specialties
that
deals
with
both
humans
and
machines.
This
fact
illustrates
strong
potential
for
artificial
intelligence
(AI)
implementation
in
dentistry,
which
makes
awareness
attitude
toward
AI
an
important
indicator
future
this
technology
field.
Hence,
scoping
review
aimed
to
report
status
dentistry.
Methodology:
To
ensure
quality
transparency
present
review,
Preferred
Reporting
Items
Systematic
Reviews
Meta-analysis
(PRISMA)
flow
chart
reported.
Four
databases
were
searched
related
topics
(Medical
Literature
Analysis
Retrieval
System
Online
(MEDLINE),
Excerpta
Medica
database
(EMBASE),
Google
Scholar,
Scopus);
1,430
studies
identified,
after
screening
filtering,
21
cross-sectional
included.
Results:
Twenty-one
included
yielded
7,688
participants.
With
average
level
50.31%
among
all
reported
(18
studies).
subgroups'
levels
dentistry
reported:
67.16%
dentists,
42.58%
dental
students,
45.56%
conducted
on
dentists
69.53%
reporting
oral
radiology.
Regarding
attitude,
out
13
studies,
44.13%
felt
threatened
or
thought
would
replace
them.
Conclusion:
The
accordance
low
are
indicators
gap
formed
between
inevitable
application
lack
utilization
schools'
curricula
required
since
lowest
subgroups
was
students.
Dentistry Journal,
Journal Year:
2024,
Volume and Issue:
12(4), P. 104 - 104
Published: April 11, 2024
Digital
Smile
Design
(DSD)
is
used
in
many
fields
of
dentistry.
This
prospective
observational
study
assessed
laypeople’s
and
dental
professionals’
perceptions
a
DSD
application.
SmileCloud,
an
online
platform,
was
to
create
two
different
designs
for
three
patients;
after
that,
the
participants,
30-question
illustrated
survey,
were
asked
about
most
attractive
design
other
features
smile.
Dentists’
specific
assessed.
The
Kolmogorov–Smirnov
normality
test
used.
Descriptive
crosstab
analyses
compared
respondents’
opinions
each
statement.
Chi-square
tests
determine
relationship
between
questions
any
association
with
age,
gender,
profession.
results
rated
as
significant
at
p-value
<
0.05.
A
total
520
participants
(dental
professionals,
students,
technicians,
laypeople)
enrolled.
statistically
self-esteem
related
appearance
(p
=
0.05),
facial
smile
symmetry
0.42,
p
0.0001),
tooth
color
0.012),
gums
0.001).
For
patient,
dominant
round
upper
incisors
perfect
preferred
pre-visualization
benefits
diagnosis
enriches
treatment
planning.
dentist–dental
technician–patient
team
should
be
involved
decision-making
process
pre-visualization.
