Artificial
Intelligence
(AI)
is
revolutionizing
head
and
neck
cancer
(HNC)
care
by
providing
innovative
tools
that
enhance
diagnostic
accuracy
personalize
treatment
strategies.
This
review
highlights
the
advancements
in
AI
technologies,
including
deep
learning
natural
language
processing,
their
applications
HNC.
The
integration
of
with
imaging
techniques,
genomics,
electronic
health
records
explored,
emphasizing
its
role
early
detection,
biomarker
discovery,
planning.
Despite
noticeable
progress,
challenges
such
as
data
quality,
algorithmic
bias,
need
for
interdisciplinary
collaboration
remain.
Emerging
innovations
like
explainable
AI,
AI-powered
robotics,
real-time
monitoring
systems
are
poised
to
further
advance
field.
Addressing
these
fostering
among
experts,
clinicians,
researchers
crucial
developing
equitable
effective
applications.
future
HNC
holds
significant
promise,
offering
potential
breakthroughs
diagnostics,
personalized
therapies,
improved
patient
outcomes.
Introduction:
Salivary
biomarkers
have
been
extensively
studied
in
relation
to
oral
disease,
such
as
periodontal
cancer,
and
dental
caries,
well
systemic
conditions
including
diabetes,
cardiovascular
diseases,
neurological
disorders.
Literature
Review:
A
systematic
literature
review
was
conducted,
analyzing
recent
advancements
salivary
biomarker
research.
Databases
PubMed,
Scopus,
Web
of
Science
were
searched
for
relevant
studies
published
the
last
decade.
The
selection
criteria
included
focusing
on
identification,
validation,
clinical
application
diagnosing
diseases.
Various
detection
techniques,
enzyme-linked
immunosorbent
assay
(ELISA),
polymerase
chain
reaction
(PCR),
mass
spectrometry,
biosensor
technologies,
reviewed
assess
their
effectiveness
analysis.
Specific
biomarkers,
inflammatory
cytokines,
oxidative
stress
markers,
microRNAs,
identified
reliable
indicators
disease
progression.
Current
Trends
Future
Perspectives:
Advances
proteomics,
genomics,
metabolomics
significantly
enhanced
ability
analyze
with
high
sensitivity
specificity.
Despite
promising
findings,
challenges
remain
standardizing
sample
collection,
processing,
analysis
ensure
reproducibility
applicability.
Conclusions:
research
should
focus
developing
point-of-care
diagnostic
tools
integrating
artificial
intelligence
improve
predictive
accuracy
biomarkers.
Frontiers in Oral Health,
Год журнала:
2025,
Номер
6
Опубликована: Апрель 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.
International Journal of Surgery,
Год журнала:
2023,
Номер
110(3), С. 1677 - 1686
Опубликована: Дек. 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,
Год журнала:
2024,
Номер
5
Опубликована: Авг. 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.
