Sensors,
Год журнала:
2023,
Номер
23(9), С. 4529 - 4529
Опубликована: Май 6, 2023
Immersive
virtual
reality
(IVR)
uses
customized
and
advanced
software
hardware
to
create
a
digital
3D
in
which
all
of
the
user's
senses
are
stimulated
with
computer-generated
sensations
feedback.
This
technology
is
promising
tool
that
has
already
proven
useful
Parkinson's
disease
(PD).
The
risk
falls
very
high
people
PD,
reaction
times
processing
speed
may
be
markers
postural
instability
functionality,
cognitive
impairment
progression.
An
exploratory
study
was
conducted
explore
feasibility
time
tests
performed
IVR
as
predictors
falls.
A
total
26
volunteers
(79.2%
male;
69.73
±
6.32
years)
diagnosed
PD
(1.54
0.90
H&Y
stage;
26.92
2.64
MMSE)
took
part
study.
intervention
feasible,
no
adverse
effects
(no
Simulator
Sickness
Questionnaire
symptoms).
were
related
(Spearman's
rho)
functionality
(timed
up
go
test
(TUG)
(rho
=
0.537,
p
0.005);
TUG-Cognitive
0.576,
0.020);
mini
mental
state
exam
(MMSE)
-0.576,
0.002))
years
patients
0.399,
0.043)
but
not
first
symptom
or
stage.
complementary
assessment
contribute
preventing
proposed
sample.
Additionally,
based
on
relationship
between
TUG
times,
cut-off
suggested
would
effective
at
predicting
suffering
fall
using
simple
quick
test.
Healthcare,
Год журнала:
2022,
Номер
10(7), С. 1269 - 1269
Опубликована: Июль 8, 2022
This
literature
research
had
two
main
objectives.
The
first
objective
was
to
quantify
how
frequently
artificial
intelligence
(AI)
utilized
in
dental
from
2011
until
2021.
second
distinguish
the
focus
of
such
publications;
particular,
field
and
topic.
inclusion
criterium
an
original
article
or
review
English
focused
on
utilization
AI.
All
other
types
publications
non-dental
non-AI-focused
were
excluded.
information
sources
Web
Science,
PubMed,
Scopus,
Google
Scholar,
queried
19
April
2022.
search
string
“artificial
intelligence”
AND
(dental
OR
dentistry
tooth
teeth
dentofacial
maxillofacial
orofacial
orthodontics
endodontics
periodontics
prosthodontics).
Following
removal
duplicates,
all
remaining
returned
by
searches
screened
three
independent
operators
minimize
risk
bias.
analysis
2011–2021
identified
4413
records,
which
1497
finally
selected
calculated
according
year
publication.
results
confirmed
a
historically
unprecedented
boom
AI
publications,
with
average
increase
21.6%
per
over
last
decade
34.9%
5
years.
In
achievement
objective,
qualitative
assessment
since
2021
1717
497
papers
selected.
this
indicated
relative
proportions
focal
topics,
as
follows:
radiology
26.36%,
18.31%,
general
scope
17.10%,
restorative
12.09%,
surgery
11.87%
education
5.63%.
confirms
that
current
use
is
concentrated
mainly
around
evaluation
digital
diagnostic
methods,
especially
radiology;
however,
its
implementation
expected
gradually
penetrate
parts
profession.
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 43
Опубликована: Фев. 27, 2024
The
metaverse
has
emerged
as
an
exciting
new
paradigm
for
human-computer
interaction
(HCI)
and
virtual
collaboration.
This
paper
presents
a
comprehensive
review
of
the
to
address
gap
in
existing
literature
where
there
is
lack
survey
that
reviews
nature
its
building
blocks
from
human-centric
perspective.
We
first
synthesize
definition
delineate
key
affordances.
then
introduce
detailed
framework
encompassing
metaverse's
nature,
infrastructure
technologies,
input/output
technologies
facilitate
multi-sensory
HCI,
alongside
applications
across
diverse
domains.
components
within
this
are
explained
depth,
offering
insights
into
readiness
level
current
technologies.
Based
on
analysis,
we
outline
major
open
challenges
propose
promising
directions
demanding
further
exploration
investigation.
By
clarifying
vision
characterizing
required
realize
it,
provides
essential
serves
invaluable
resource
developers
researchers
working
advance
transformative
medium.
Healthcare,
Год журнала:
2022,
Номер
10(11), С. 2188 - 2188
Опубликована: Окт. 31, 2022
Artificial
intelligence
has
been
widely
used
in
the
field
of
dentistry
recent
years.
The
present
study
highlights
current
advances
and
limitations
integrating
artificial
intelligence,
machine
learning,
deep
learning
subfields
including
periodontology,
endodontics,
orthodontics,
restorative
dentistry,
oral
pathology.
This
article
aims
to
provide
a
systematic
review
clinical
applications
within
different
fields
dentistry.
preferred
reporting
items
for
reviews
(PRISMA)
statement
was
as
formal
guideline
data
collection.
Data
obtained
from
research
studies
2009-2022.
analysis
included
total
55
papers
Google
Scholar,
IEEE,
PubMed,
Scopus
databases.
Results
show
that
potential
improve
dental
care,
disease
diagnosis
prognosis,
treatment
planning,
risk
assessment.
Finally,
this
analyzed
provides
future
directions
care.
Healthcare,
Год журнала:
2023,
Номер
11(10), С. 1480 - 1480
Опубликована: Май 19, 2023
The
introduction
of
artificial
intelligence
(AI)-based
dental
applications
into
clinical
practice
could
play
a
significant
role
in
improving
diagnostic
accuracy
and
reforming
care,
but
its
implementation
relies
on
the
readiness
dentists,
as
well
health
system,
to
adopt
it
everyday
practice.
A
cross-sectional
anonymous
online
survey
was
conducted
among
experienced
dentists
final-year
undergraduate
students
from
School
Dental
Medicine
at
University
Belgrade
(n
=
281)
order
investigate
their
current
perspectives
accept
AI
Responders
193)
present
survey,
especially
undergraduates
76),
showed
lack
knowledge
about
(only
7.9%
them
were
familiar
with
use)
skeptical
34%
believed
that
should
be
used),
underlying
reasons,
shown
by
logistic
regression
analyses,
technology
associated
fear
being
replaced
AI,
regulatory
policy.
Female
perceived
ethical
issues
more
significantly
than
men
regarding
results
encourage
an
debate
education/training
policies
for
prerequisite
regular
use
Introduction
Healthcare
amelioration
is
exponential
to
technological
advancement.
In
the
recent
era
of
automation,
consolidation
artificial
intelligence
(AI)
in
dentistry
has
rendered
transformation
oral
healthcare
from
a
hardware-centric
approach
software-centric
approach,
leading
enhanced
efficiency
and
improved
educational
clinical
outcomes.
Objectives
The
aim
this
narrative
overview
extend
succinct
major
events
innovations
that
led
creation
modern-day
AI
applicability
former
dentistry.
This
article
also
prompts
workers
endeavor
liable
optimal
for
effective
incorporation
technology
into
their
practice
promote
health
by
exploring
potentials,
constraints,
ethical
considerations
Methods
A
comprehensive
searching
white
grey
literature
was
carried
out
collect
assess
data
on
AI,
its
use
dentistry,
associated
challenges
concerns.
Results
still
evolving
phase
with
paramount
applicabilities
relevant
risk
prediction,
diagnosis,
decision-making,
prognosis,
tailored
treatment
plans,
patient
management,
academia
as
well
concerns
implementation.
Conclusion
upsurging
advancements
have
resulted
transformations
promising
outcomes
across
all
domains
futurity,
may
be
capable
executing
multitude
tasks
domain
healthcare,
at
level
or
surpassing
ability
mankind.
However,
could
significant
benefit
only
if
it
utilized
under
responsibility,
ethicality
universality.
BMC Medical Education,
Год журнала:
2025,
Номер
25(1)
Опубликована: Март 5, 2025
Virtual
reality
and
mixed
have
shown
great
promise
in
training
education
across
a
range
of
professional
pedagogical
domains.
The
perception
such
technologies
by
midwifery
students
remains
an
underexplored
area
study.
Thirty-three
MSc
received
demonstration
proof-of-concept
lesson
about
the
foetal
descent
during
labour.
Twelve
were
subsequently
interviewed
their
experiences,
thematic
analysis
was
used
to
analyse
qualitative
dataset
produced
interview
transcripts.
Analysis
found
[1]
that
viewed
as
valuable
novelty
which
facilitates
new
insights
while
scaffolding
prior
learnings
[2],
postulated
gel
well
with
other
learning
methods
modalities
simulation-based
training,
[3]
intuitive
or
easy
use,
adaptable
customisable
content
should
be
key
consideration
immersive
design.
study
concludes
can
supplement
existing
teaching
tools.
Students
expressed
optimism
reality's
potential
enhance
educational
outcomes.
While
it
cannot
replace
dialogue
qualified
instructor,
may
suited
facilitating
peer-to-peer
learning.
Not
applicable.
Sensors,
Год журнала:
2022,
Номер
22(18), С. 7059 - 7059
Опубликована: Сен. 18, 2022
Adaptive
systems
and
Augmented
Reality
are
among
the
most
promising
technologies
in
teaching
learning
processes,
as
they
can
be
an
effective
tool
for
training
engineering
students'
spatial
skills.
Prior
work
has
investigated
integration
of
AR
technology
education,
more
specifically,
ability
training.
However,
modeling
user
knowledge
order
to
personalize
been
neither
sufficiently
explored
nor
exploited
this
task.
There
is
a
lot
space
research
area.
In
work,
we
introduce
novel
personalization
path
within
application.
The
aim
Reality,
specifically
evaluation
fuzzy
logic
technology.
During
one
academic
semester,
three
undergraduate
courses
related
domain
skills
were
supported
by
developed
adaptive
system
named
PARSAT.
Using
weights
rule-based
decision-making
module
theory
Structure
Observed
Learning
Outcomes
design
material,
PARSAT
offers
activities
cognitive
Students'
data
gathered
at
end
thorough
analysis
was
delivered.
findings
demonstrated
that
proposed
method
outperformed
traditional
lacked
adaptability,
terms
expertise
theories,
considerably
enhancing
student
outcomes.
Electronics,
Год журнала:
2022,
Номер
11(22), С. 3778 - 3778
Опубликована: Ноя. 17, 2022
The
dynamic
COVID-19
pandemic
has
destabilized
education
and
forced
academic
centers
to
explore
non-traditional
teaching
modalities.
A
key
challenge
this
creates
is
in
reconciling
the
fact
that
hands-on
time
lab
settings
been
shown
increase
student
understanding
peak
their
interests.
Traditional
visualization
methods
are
already
limited
topics
such
as
3D
molecular
structures
remain
difficult
understand.
This
where
advances
Information
Communication
Technologies
(ICT),
including
remote
meetings,
Virtual
Reality
(VR),
Augmented
(AR),
Mixed
(MR),
Extended
(XR,
so-called
Metaverse)
offer
vast
potential
revolutionize
landscape.
Specifically,
how
MR
merges
real
virtual
life
a
uniquely
promising
way
offers
opportunities
for
entirely
new
educational
applications.
In
paper,
we
briefly
overview
report
our
initial
experience
using
teach
medical
pharmacy
students.
We
also
future
usefulness
of
education.
mimics
real-world
experiences
both
distance
traditional
laboratory
classes.
propose
ICT-based
systems
designed
run
on
Microsoft
HoloLens2
goggles
can
be
successfully
applied
coursework.
models
were
developed
implemented
Autodesk
Maya
exported
Unity.
Our
findings
demonstrate
MR-based
solutions
an
excellent
alternative
classes,
notably
medicine,
anatomy,
organic
chemistry,
biochemistry
(especially
structures),
in-person
therefore
become
integral
part
learning
study.
Healthcare,
Год журнала:
2022,
Номер
10(10), С. 1892 - 1892
Опубликована: Сен. 28, 2022
Within
the
ever-growing
healthcare
industry,
dental
informatics
is
a
burgeoning
field
of
study.
One
major
obstacles
to
health
care
system’s
transformation
obtaining
knowledge
and
insightful
data
from
complex,
high-dimensional,
diverse
sources.
Modern
biomedical
research,
for
instance,
has
seen
an
increase
in
use
heterogeneous,
poorly
documented,
generally
unstructured
electronic
records,
imaging,
sensor
data,
text.
There
were
still
certain
restrictions
even
after
many
current
techniques
used
extract
more
robust
useful
elements
analysis.
New
effective
paradigms
building
end-to-end
learning
models
complex
are
provided
by
most
recent
deep
technology
breakthroughs.
Therefore,
study
aims
examine
research
on
problems
recommend
creating
comprehensive
meaningful
interpretable
structures
that
might
benefit
industry.
We
also
draw
attention
some
drawbacks
need
better
technique
development
provide
new
perspectives
about
this
exciting
field.