The role of Artificial Intelligence in Intraoral Scanning for Complete-Arch Digital Impressions: An In Vitro Study
Journal of Dentistry,
Journal Year:
2025,
Volume and Issue:
unknown, P. 105717 - 105717
Published: March 1, 2025
Artificial
intelligence
(AI)
is
increasingly
being
integrated
into
intraoral
scanners
(IOS)
to
improve
the
quality
of
digital
impressions.
However,
information
on
accuracy
AI-assisted
virtual
models
limited.
This
study
aimed
evaluate
effect
AI,
specifically
its
application
in
filling
mesh
defects,
by
evaluating
impressions
complete
arches
an
vitro
setting.
Three
types
articulated
maxillary
and
antagonist
made
from
Type
IV
gypsum
were
used:
intact
model
(Model
1),
a
with
prepared
teeth
(FDI
13,
16)
missing
14,
15)
2),
15,
17)
3).
A
total
120
scans
obtained
using
IOS
(3Shape
Trios
5)
20
AI
assistance
(AI-ON)
without
(AI-OFF).
The
files
compared
reference
generated
desktop
scanner
E3)
analyzed
for
reverse
engineering
metrology
software
(Geomagic
Control
X).
While
AI-OFF
shows
better
trueness
most
relations,
AI-ON
improves
precision
demonstrates
significant
advantages
accuracy,
particularly
arch
distortion
whole
deviation
measurements.
that
incorporating
significantly
scans,
enhancing
consistency
reducing
errors.
Further
studies
are
needed
explore
full
potential
across
different
clinical
scenarios
types.
highlights
role
improving
addressing
contributing
more
precise
workflows
dentistry.
Language: Английский
Retreatment and aesthetic restoration of maxillary incisor with calcified root canal using a dynamic navigation system: a case report
Peng Xue,
No information about this author
Qiang Luo,
No information about this author
Yang Huang
No information about this author
et al.
BMC Oral Health,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: Nov. 8, 2024
Pulp
canal
occlusion
(PCO)
increases
the
difficulty
of
root
treatment
as
well
tooth
preservation
and
restoration.
This
is
first
case
report
successful
localization
a
calcified
under
guidance
dynamic
navigation
system
(DNS)
for
complete
retreatment
aesthetic
restoration
after
failed
attempt
to
locate
with
traditional
dental
operating
microscope
(DOM).
The
patient
was
scheduled
labially
inclined
maxillary
central
incisor
post-core
crown
resin
veneers
in
another
hospital,
but
could
not
be
located
microscope,
so
referred
our
department.
Root
planned
#8,
#9
dredged
DNS.
We
used
DNS
positioning
operation
following
4
steps:
preoperative
CBCT
imaging,
plan
design,
calibration
registration,
real-time
navigation.
Three
months
later,
teeth
#8
presented
no
clinical
symptoms,
which
fiber
post-cores
zirconia
all-ceramic
restorations
were
completed.
At
12-month
follow-up
visit,
continued
symptomfree,
satisfied
final
suggests
that
may
promising
technique
high
accuracy
effectiveness
reduce
risk
iatrogenic
errors
provide
maximal
dentin,
when
canals
approaches
failure
(lateral
perforation).
Language: Английский
Potential applicability of virtual reality in implant dentistry: a narrative review
Frontiers in Dental Medicine,
Journal Year:
2024,
Volume and Issue:
5
Published: Nov. 14, 2024
Dental
implants
have
a
high
success
rate
but
face
challenges
such
as
improper
positioning,
implant
fracture,
and
tissue
damage,
often
due
to
the
lack
of
surgical
proficiency.
Virtual
reality
(VR)
technology
has
emerged
transformative
solution
in
dentistry,
offering
three-dimensional
(3D),
immersive
environment
for
both
educational
clinical
applications.
Initially
used
teaching
aid,
VR
now
facilitates
comprehensive
preoperative
planning
precise
placement,
minimizing
procedural
errors.
systems
enhance
student
novice
surgeon
training
by
providing
risk-free
platform
skill
development.
Clinically,
aids
accurate
positioning
through
computer-guided
stents
simulation
fields,
improving
patient
outcomes
reducing
complications.
Furthermore,
enhances
education
communication,
visual
representations
treatment
plans,
thereby
increasing
satisfaction
understanding.
Despite
its
benefits,
integration
faces
challenges,
including
costs,
steep
learning
curves
experienced
surgeons,
potential
disruption
patient-clinician
interactions.
Developing
affordable,
compact
integrating
early
dental
curricula
will
facilitate
widespread
adoption
revolutionize
dentistry
care.
The
review
covers
historical
development
current
progress
with
an
overview
applications
benefits
future
perspectives.
Language: Английский
Transforming abdominal reconstruction-impact of artificial intelligence algorithms and advanced technologies on the efficiency of vascularized flaps and postoperative functional restoration: a systematic review
Luis Aleman Romero,
No information about this author
Claudia Hernandez,
No information about this author
Bryan Andrés Andrade Veloz
No information about this author
et al.
Salud Ciencia y Tecnología,
Journal Year:
2024,
Volume and Issue:
5, P. 1227 - 1227
Published: Dec. 14, 2024
Abdominal
Reconstruction
shows
the
progress
created
by
artificial
intelligence
and
machine
learning
AI
&
ML,
especially
those
involving
vascularized
flaps.
Therefore,
this
systematic
review
seeks
to
find
out
how
incorporating
can
transform
surgical
accuracy,
minimize
post-surgical
complications,
as
well
improve
recovery
process.
is
already
being
used
for
planning
surgery
forecasting
failure
of
flaps
minimizing
SSI.
Machine
models
like
neural
networks
demonstrate
impressive
accuracy
in
identifying
high-risk
patients
such
with
obesity,
chemotherapy
exposure,
or
large
fascial
defects.
Real-time
data
analytics,
remote
monitoring
through
ML
have
improved
decision-making
process
led
efficient
surgeries
better
functional
outcomes
reducing
post-operative
complications.
Integrating
into
complex
environments
requires
carefully
balancing
recommendations
human
expertise
yet
ethical
concerns
surrounding
transparency,
bias,
patient
privacy
these
need
critical
consideration
must
be
addressed.
We
conducted
systematically
evaluate
existing
studies,
revealing
that
while
promising
outcomes,
its
real-world
applications
are
still
their
infancy,
we
will
has
transformed
abdominal
reconstruction
procedures,
plastic
surgeries,
breast
wall
hernias,
other
oncological
resections
Language: Английский