Children's
dental
caries
is
a
common
oral
health
issue,
causing
pain
and
discomfort.
Therefore,
plays
crucial
role
in
children's
growth
development.
However,
regular
check-ups
consultations
are
burdensome
expensive
for
parents,
especially
Mongolian
children
with
uneven
access
to
healthcare.
To
address
this
we
developed
an
intelligent
remote
consultation
system
prevention,
which
utilizes
advanced
technologies
like
risk
assessment
image
recognition
automated
analysis
cavity
localization.
Subsequently,
conducted
experiments
analyses
based
on
data
collected
from
the
initial
phase
Mongolia,
showing
potential
of
improve
health.
system's
precision
restricted
by
small
amount
data.
Expanding
collection
will
be
focus
future
efforts
performance
further
creative
solution.
BMC Oral Health,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 2, 2025
Abstract
Dental
trauma
is
common
in
all
age
groups,
although,
epidemiologically,
it
more
children
with
studies
that
indicate
15%
of
preschoolers
and
20–25%
school-age
experience
it.
These
injuries,
which
frequently
call
for
immediate
attention,
can
affect
the
hard
tissues
supporting
components
teeth,
and,
because
dental
damage
deciduous
teeth
occurs
affects
speech,
nutrition,
oral
development,
particularly
worrying.
After
searching
three
databases,
Scopus,
Web
Science
(WoS),
PubMed,
removing
duplicates,
3,630
articles
were
screened,
12
publications
included
qualitative
analysis.
Due
to
their
busy
lifestyles,
are
susceptible
certain
areas
lower
socioeconomic
incidence
higher.
From
little
fractures
enamel
serious
dislocations
avulsions,
injuries
vary
must
be
treated
promptly
order
avoid
consequences
prevent
long-term
issues.
Furthermore,
a
conservative
treatment
strategy
recommended
preserve
tooth
vitality
extractions.
Reducing
occurrence
requires
implementation
preventive
measures
including
mouthguard
use
educational
campaigns.
In
summary,
this
review
emphasizes
importance
early
diagnosis,
management,
care,
by
synthesizing
existing
knowledge
on
prevalence,
types,
complications,
prevention
teeth.
Finally,
it’s
important
underscore
need
continued
research
refine
approaches.
BMC Oral Health,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 8, 2025
Abstract
Background
In
the
last
years,
artificial
intelligence
(AI)
has
contributed
to
improving
healthcare
including
dentistry.
The
objective
of
this
study
was
develop
a
machine
learning
(ML)
model
for
early
childhood
caries
(ECC)
prediction
by
identifying
crucial
health
behaviours
within
mother-child
pairs.
Methods
For
analysis,
we
utilized
representative
sample
724
mothers
with
children
under
six
years
in
Bangladesh.
both
clinical
and
survey
data.
ECC
assessed
using
ICDAS
II
criteria
examinations.
Recursive
Feature
Elimination
(RFE)
Random
Forest
(RF)
applied
identify
optimal
subsets
features.
forest
classifier
(RFC),
extreme
gradient
boosting
(XGBoost),
support
vector
(SVM),
adaptive
(AdaBoost),
multi-layer
perceptron
(MLP)
models
were
used
best
fitted
as
predictor
ECC.
SHAP
MDG-MDA
plots
visualized
interpretability
significant
predictors.
Results
RFC
identified
10
features
most
relevant
obtained
RFE
feature
selection
method.
were:
plaque
score,
age
child,
mother’s
education,
number
siblings,
mother,
consumption
sweet,
tooth
cleaning
tools,
child’s
brushing
frequency,
helping
child
brushing,
use
F-toothpaste.
final
ML
achieved
an
AUC-ROC
score
(0.77),
accuracy
(0.72),
sensitivity
(0.80)
F1
(0.73)
test
set.
Of
model,
dental
strongest
(MDG:
0.08,
MDA:
0.10).
Conclusions
Our
integrating
key
features,
potential
predict
effectively
five
years.
Additional
research
is
needed
validation
optimization
across
various
groups.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 2, 2025
Abstract
Introduction
Early
Childhood
Caries
(ECC)
is
a
major
public
health
issue
that
poses
significant
challenges
in
pediatric
dentistry,
affecting
infants
and
preschool
children
globally.
Socioeconomic
factors,
dietary
habits,
parental
literacy
play
crucial
roles
ECC’s
development
progression.
Objective
The
study
aims
to
identify
evaluate
factors
contributing
ECC
patients
at
university-based
infant
oral
clinic,
with
secondary
objective
of
assessing
the
effectiveness
newly
developed
promotional
materials
through
pilot
study.
Methods
A
retrospective
cross-sectional
design
was
employed
analyze
data
from
514
patients.
examined
demographic
information,
environmental
feeding
practices.
Statistical
analysis
conducted
predictors
ECC.
involved
10
participants
who
provided
feedback
on
content
face
validity
materials.
Results
Key
associated
included
race,
socioeconomic
status,
literacy,
bottle
use
night.
detection
preventive
strategies,
such
as
regular
dental
checkups,
were
found
be
critical
reducing
caries
risk.
showed
positive
materials,
indicating
relevance,
clarity,
visual
appeal,
ongoing
used
refine
Conclusion
highlights
importance
comprehensive
strategies
encompass
both
individual
community-level
interventions.
It
underscores
role
early
detection,
measures,
tailored
education
Limitations
include
potential
generalization
issues
due
study’s
focus
single
clinic.
Future
research
should
aim
address
these
limitations
longitudinal
studies
larger,
more
diverse
samples
validate
findings
enhance
Galician Medical Journal,
Journal Year:
2025,
Volume and Issue:
32(1)
Published: March 1, 2025
Introduction.
Early
childhood
caries
(ECC)
is
a
prevalent
dental
condition
that
significantly
impacts
children’s
quality
of
life
and
influenced
by
both
environmental
metabolic
factors.
Anthropometric
variables
such
as
weight,
height,
body
mass
index
serve
indicators
overall
growth
nutritional
status,
which
are
closely
linked
to
oral
health.
Additionally,
family
size
may
play
role
in
ECC
risk
influencing
dietary
habits
hygiene
practices.
Despite
these
associations,
the
complex
nonlinear
relationships
between
factors
remain
insufficiently
explored.
This
study
aims
investigate
potential
combination
social
(family
size)
anthropometric
parameters
(weight,
index)
employing
nonparametric
regression
validating
with
multilayer
feed-forward
neural
network
(MLFNN).
Methods.
cross-sectional
observational
utilized
secondary
data
from
Universiti
Sains
Malaysia
Hospital,
Kota
Bharu,
Kelantan,
Malaysia.
The
dataset
was
divided
into
training
(60%),
testing
(30%),
validation
(10%)
subsets.
A
generalized
additive
model
(GAM)
used
capture
relationships,
followed
MLFNN
validation.
Model
performance
assessed
using
root
mean
squared
error
(RMSE),
absolute
(MAE),
median
(MedAE),
(MSE).
Results.
exhibited
non-normality,
justifying
use
regression.
In
GAM,
only
weight
showed
relationship,
no
other
predictors
risk,
except
for
intercept.
achieved
an
value
0.089
accuracy
91.09%,
height
contributing
most
estimation.
Conclusions.
Integrating
provides
robust
framework
modelling
capturing
Height
emerged
influential
predictor,
highlighting
its
association
systemic
health,
index,
size.
These
findings
underscore
need
multifactorial
approach
prevention,
emphasizing
family-related
pediatric
care.
Frontiers in Oral Health,
Journal Year:
2025,
Volume and Issue:
6
Published: May 21, 2025
Early
Childhood
Caries
(ECC)
is
a
significant
oral
health
condition
that
impacts
children
globally.
This
manuscript's
main
objective
to
explore
ECC's
impact
on
children's
health-related
quality
of
life
(OHRQoL)
in
Africa,
and
highlight
the
policy
programme
recommendations
eliminate
untreated
ECC
as
public
threat
Africa.
In
poses
challenge
has
potential
result
functional
disabilities
children.
A
rapid
review
literature
focusing
studies
from
Africa
explored
life.
The
three
met
eligibility
criteria
revealed
negatively
multiple
dimensions
life,
including
physical
(pain,
malnutrition,
chewing
difficulties),
psychological
well-being
(low
self-esteem,
stigma),
social
functioning
(peer
relationships,
school
attendance).
Advanced
had
more
pronounced
effects,
particularly
symptom
domains.
paper
highlights
urgent
need
recognise
disability
within
frameworks
Policy
include
integrating
into
primary
healthcare
systems,
expanding
community-based
prevention
programmes,
incentivising
production
affordable
products,
developing
school-based
education
initiatives.
Strengthening
workforce
capacity
enhancing
data
collection
prevalence
critical
for
effective
formulation
resource
allocation.
Recognising
underscores
multi-sectoral
approach
address
this
neglected
priority
prioritising
actions
International
Day
Persons
with
Disabilities
(December
3)
marked.
BMC Oral Health,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: July 11, 2024
Abstract
Background
Early
childhood
caries
(ECC)
is
a
global
public
health
challenge
that
requires
innovation,
infrastructure,
and
system
influences
to
bolster
initiatives
for
its
management
control.
The
aim
of
this
scoping
review
was
investigate
the
published
evidence
on
association
between
ECC
targets
Sustainable
Development
Goal
9
(SDG9)
concerned
with
industry,
infrastructure
development.
Methods
followed
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
Extension
Scoping
(PRISMA-ScR)
guidelines.
A
search
conducted
in
PubMed,
Web
Science,
Scopus
July
August
2023
using
strategy
related
promotion
resilient
sustainable
industries,
scientific
research
access
internet
ECC.
Only
English
language
publications
were
included.
Studies
solely
examined
without
reference
SDG9
excluded.
Results
yielded
933
studies
review.
After
screening
eligibility
removing
duplicates,
916
unique
articles
remained
further
screening.
However,
none
identified
provided
data
Conclusion
There
no
primary
assessed
SDG9,
even
though
plausibility
potential
relationship
exists.
Future
are
needed
generate
link
as
may
contribute
reduction
proportion
children
untreated
Healthcare,
Journal Year:
2024,
Volume and Issue:
12(14), P. 1376 - 1376
Published: July 10, 2024
Early
childhood
caries
(ECC)
is
not
merely
a
problem
of
the
tooth;
rather,
it
has
negative
impacts
on
child’s
growth
and
development
oral
health-related
quality
life.
The
prevalence
ECC
varies
widely,
more
variance
observed
between
countries
than
continents,
changes
over
time.
current
cross-sectional
study
aimed
to
determine
ECC’s
prevalence,
associated
factors,
severity.
This
was
conducted
in
Dental
Clinic
Complex,
North
Riyadh,
KSA.
sample
included
306
participants
36
71
months
age.
A
questionnaire
developed
collect
information
from
participants.
decaying
filled
teeth
(DMFT)
index
used
estimate
caries.
results
revealed
be
76%
among
36-
71-month-old
children
Riyadh.
influenced
by
socioeconomic
factors
like
maternal
occupation,
education,
hygiene
habits,
dietary
patterns.
Also,
found
that
exclusively
breastfed
have
lower
odds
(68.1%
vs.
83.6%,
p
=
0.001),
while
intake
three
between-meal
sugar-containing
snacks/beverages
per
day
increases
likelihood
(63.5%
79.8%,
0.006).
researchers
recommend
encouraging
breastfeeding
as
correlates
with
addition
establishing
effective
practices
for
preschool
children.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 26, 2024
Introduction
Dental
caries
prevention
in
early
childhood
is
crucial,
necessitating
timely
assessments
by
dental
professionals
and
parents.
The
oral
health
of
children
during
their
years
can
significantly
impact
both
the
themselves
parents'
quality
life.
This
study
seeks
to
assess
changes
health-related
life
after
treatment
under
nitrous
oxide
sedation
anxious
preschool
children,
for
whom
otherwise
quite
difficult
chairside.
Aim
aim
this
association
between
status,
risk
assessment,
(OHRQoL)
3-6-year-old
before
undergoing
inhalation
sedation.
Materials
methods
Eighty
were
assessed
status
using
assessment
(CRAFT)
tool.
Nitrous
was
employed
treatment,
conducted
pre-treatment
post-treatment.
Statistical
analyses
performed
paired
t-tests,
correlation
analyses,
Chi-Square
tests.
Results
revealed
a
mean
age
4.033
±
0.96,
with
balanced
gender
distribution
(47.5%
boys,
52.5%
girls).
Post-treatment,
significant
negative
correlations
observed
OHRQoL
outcomes,
emphasizing
improved
Associations
found
OHRQoL,
pufa
index,
Conclusion
current
research
suggests
that
done
could
improve
children.
Integrating
enhances
understanding,
facilitating
targeted
strategies.
Addressing
untreated
imperative
optimizing
overall
well-being
group.