Santosh University Journal of Health Sciences,
Journal Year:
2024,
Volume and Issue:
10(2), P. 269 - 278
Published: July 1, 2024
ABSTRACT
Artificial
intelligence
(AI)
is
a
computer
technology
that
becoming
increasingly
popular
worldwide
as
high-impact,
game-changing
innovation,
where
machines
can
imitate
human
actions.
AI
in
the
healthcare
system
evolving
dentistry.
The
primary
uses
of
dentistry
include:
diagnosis
and
treatment,
patient
management,
prognosis
prediction
using
key
feature
mathematical
model
building
administrative
activities.
life-saving
for
oral
professionals,
particularly
fields
dental
implants
periodontology.
Therefore,
we
have
positive
view
on
development
machine
learning
reduction
medical
errors,
better
care,
optimization
clinical
decision
making
implantology.
This
review
summarizes
characteristics
model,
its
use
periodontology
implant
therapy,
drawbacks
ethical
concerns,
future
perspectives.
Frontiers in Oral Health,
Journal Year:
2025,
Volume and Issue:
6
Published: April 14, 2025
Technological
innovations
in
dentistry
are
revolutionizing
the
monitoring
and
management
of
oral
health.
This
perspective
article
critically
examines
rapid
expansion
remote
technologies—including
artificial
intelligence
(AI)-driven
diagnostics,
electronic
health
records
(EHR),
wearable
devices,
mobile
applications,
chatbots—and
discusses
their
ethical,
legal,
social
implications.
The
accelerated
adoption
these
digital
tools,
particularly
wake
COVID-19
pandemic,
has
enhanced
accessibility
to
care
while
simultaneously
raising
significant
concerns
regarding
patient
consent,
data
privacy,
algorithmic
biases.
We
review
current
applications
ranging
from
AI-assisted
detection
dental
pathologies
blockchain-enabled
transfer
within
EHR
systems,
highlighting
potential
for
improved
diagnostic
accuracy
risks
associated
with
over-reliance
on
assessments.
Furthermore,
we
underscore
challenges
posed
by
divide,
where
disparities
literacy
access
may
inadvertently
exacerbate
existing
socio-economic
inequalities.
calls
development
rigorous
implementation
ethical
frameworks
regulatory
guidelines
that
ensure
reliability,
transparency,
accountability
innovations.
By
integrating
multidisciplinary
insights,
our
discussion
aims
foster
a
balanced
approach
maximizes
clinical
benefits
emerging
technologies
safeguarding
autonomy
promoting
equitable
healthcare
delivery.
Oral Diseases,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 23, 2024
Abstract
As
a
relatively
new
tool,
the
use
of
artificial
intelligence
(AI)
in
medicine
and
dentistry
has
potential
to
significantly
transform
healthcare
sector.
AI
already
demonstrated
efficacy
medical
diagnosis
across
several
specialties,
used
successfully
detect
breast,
lung
skin
cancer.
In
Oral
Medicine,
may
be
applied
similar
fashion,
detection
oral
cancers
potentially
malignant
diseases.
Despite
its
promise
as
transformative
diagnostic
aid,
presents
significant
safety,
reliability
ethical
concerns.
There
is
no
formal
consensus
on
safe
implementation
systems
settings,
but
literature
converges
key
principles
including
transparency,
justice
fairness,
non‐maleficence,
responsibility
privacy.
This
article
provides
narrative
review
issues
surrounding
medicine,
reflects
these,
providing
view‐points
bioethicist
Medicine
clinicians
from
units.
International Journal of Surgery,
Journal Year:
2023,
Volume and Issue:
110(3), P. 1677 - 1686
Published: Dec. 4, 2023
Oral
potentially
malignant
disorders
(OPMDs)
are
mucosal
conditions
with
an
inherent
disposition
to
develop
oral
squamous
cell
carcinoma.
Surgical
management
is
the
most
preferred
strategy
prevent
transformation
in
OPMDs,
and
surgical
approaches
treatment
include
conventional
scalpel
excision,
laser
surgery,
cryotherapy,
photodynamic
therapy.
However,
reality,
since
all
patients
OPMDs
will
not
carcinoma
their
lifetime,
there
a
need
stratify
according
risk
of
streamline
intervention
for
highest
risks.
Artificial
intelligence
(AI)
has
potential
integrate
disparate
factors
influencing
robust,
precise,
personalized
cancer
stratification
OPMD
than
current
methods
determine
resection,
or
re-excision.
Therefore,
this
article
overviews
existing
AI
models
tools,
presents
clinical
implementation
pathway,
discusses
necessary
refinements
aid
application
AI-based
platforms
practice.
Frontiers in Dental Medicine,
Journal Year:
2024,
Volume and Issue:
5
Published: Aug. 21, 2024
This
narrative
review
aims
to
discuss
the
incorporation
of
novel
medical
concepts
and
tools
into
dental
practice,
with
goal
improving
early
diagnosis
exploring
new
personalized
treatment
options
for
oral
pathologies,
such
as
caries
periodontitis.
Preventative
approaches
concentrate
on
timely
detection
infections
integration
biomarker
analysis
recognize
pathogenic
changes
at
stage
disease.
Likewise,
periodic
monitoring
after
is
relevant
ensure
balance
in
biofilms
prevent
relapse.
Additionally,
more
attention
has
shifted
towards
contributing
factors
disease
development,
essential
nutrients.
Sufficient
levels
vitamin
C,
D
zinc
pre-
post-operatively
are
employed
boost
immune
function
reduce
risk
postoperative
infections.
Omega-3
fatty
acids,
melatonin,
antioxidants
like
E,
which
have
anti-inflammatory
properties,
utilized
help
minimize
excessive
inflammation
promote
faster
recovery.
The
data
presented
this
manuscript
emphasize
crucial
innovative
healthcare
practices.
By
adopting
a
holistic
view
patient,
clinicians
can
tailor
treatments
each
individual's
predispositions,
lifestyle,
health
conditions.
also
highlights
potential
salivary
biomarkers
point-of-care
technologies
enhancing
diagnostic
accuracy
personalizing
treatment.
Bridging
gap
between
systemic
most
effective
approach
patient
quality
life.
These
findings
underscore
importance
continued
interdisciplinary
collaboration
dentistry.
Diagnostics,
Journal Year:
2024,
Volume and Issue:
15(1), P. 78 - 78
Published: Dec. 31, 2024
Background/Objectives:
Oral
biomarkers
have
gained
attention
as
non-invasive
tools
for
assessing
systemic
diseases
due
to
their
potential
reflect
physiological
and
pathological
conditions.
This
review
aims
explore
the
role
of
oral
in
diagnosing
monitoring
diseases,
emphasizing
diagnostic
relevance
predictive
capabilities
clinical
practice.
Methods:
narrative
synthesizes
current
literature
on
biochemical,
immunological,
genetic,
microbiological
biomarkers,
with
a
focus
sources,
types,
applications.
Key
studies
were
analyzed
identify
associations
between
such
cardiovascular
type
2
diabetes
mellitus,
autoimmune
disorders,
cancers.
Results:
fluids,
including
saliva
gingival
crevicular
fluid,
contain
diverse
matrix
metalloproteinases,
cytokines,
genetic
indicators.
These
markers
demonstrated
Among
others,
elevated
levels
salivary
glucose
inflammatory
cytokines
correlate
progression,
while
vascular
endothelial
growth
factor
(VEGF)
C-reactive
protein
might
be
applicable
indicators
periodontal
disease
risk.
Additionally,
like
amyloid-beta
tau
are
promising
detecting
neurodegenerative
disorders.
Conclusions:
represent
transformative
point-of-care
approach
early
management
diseases;
however,
challenges
measurement
variability,
standardization,
validation
remain.
Oral Oncology Reports,
Journal Year:
2024,
Volume and Issue:
10, P. 100427 - 100427
Published: April 23, 2024
•
Biomarker
identification
has
been
essential
for
early
diagnosis
of
oral
cancer.
Artificial
intelligence
provides
valuable
insight
into
salivary
biomarker
discovery.
Machine
learning
algorithms
is
a
sustainable
option
in
proteomic
data
expression
validation.
Neural
networks
prove
to
be
viable
method
detection
and
diagnosis.
A
simple
and
rapid
method
for
testing
the
quality
of
fermented
beverages
is
demonstrated,
based
on
determination
total
protein
using
Coomassie
dye
comparison
absorption
spectra
samples.
The
applicability
approach
analysis
red
white
wine,
beer,
cider
kvass
shown.
In
addition
to
accurate
instrumental
characterization
samples,
this
can
be
adapted
qualitative
in
field
or
at
home.