International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(13), P. 7217 - 7217
Published: June 29, 2024
The
objective
of
this
review
is
to
identify
the
microbiological
alterations
caused
by
various
therapy
modalities
critically
analyzing
current
findings.
We
limited
our
search
English-language
papers
published
between
1
January
2004
and
7
May
2024
in
PubMed,
Scopus,
Web
Science
that
were
relevant
topic.
In
approach,
Boolean
keywords
"microbio*"
AND
"periodontitis"
used.
A
total
5152
obtained
from
databases
(2205),
PubMed
(1793),
Scopus
(1154).
This
resulted
3266
articles
after
eliminating
duplicates
(1886),
1411
entries
eliminated
their
titles
abstracts
examined.
qualitative
analysis
22
final
included
study.
Research
on
periodontal
disease
shows
periodontitis
alters
oral
microbiome
increases
antibiotic
resistance.
Treatments
like
scaling
root
planing
(SRP),
especially
when
combined
with
minocycline,
improve
clinical
outcomes
reducing
harmful
bacteria.
Comprehensive
mechanical
debridement
antibiotics,
probiotics,
EMD
bone
grafts,
other
adjunctive
therapies
enhances
health.
Personalized
treatment
strategies
advanced
microbial
analyses
are
crucial
for
effective
management
resistance
control.
Schizophrenia,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Feb. 28, 2025
This
study
evaluated
the
potential
of
artificial
intelligence
(AI)
in
diagnosis,
treatment,
and
prognostic
assessment
schizophrenia
(SZ)
explored
collaborative
directions
for
AI
applications
future
medical
innovations.
SZ
is
a
severe
mental
disorder
that
causes
significant
suffering
imposes
challenges
on
patients.
With
rapid
advancement
machine
learning
deep
technologies,
has
demonstrated
notable
advantages
early
diagnosis
high-risk
populations.
By
integrating
multidimensional
biomarkers
linguistic
behavior
data
patients,
can
provide
further
objective
precise
diagnostic
criteria.
Moreover,
it
aids
formulating
personalized
treatment
plans,
enhancing
therapeutic
outcomes,
offering
new
strategies
patients
with
treatment-resistant
SZ.
Furthermore,
excels
developing
individualized
which
enables
identification
disease
progression,
accurate
prediction
trajectory,
timely
adjustment
strategies,
thereby
improving
prognosis
facilitating
recovery.
Despite
immense
management,
its
role
as
an
auxiliary
tool
must
be
emphasized,
clinical
judgment
compassionate
care
from
healthcare
professionals
remaining
crucial.
Future
research
should
focus
optimizing
human–machine
interactions
to
achieve
efficient
application
management.
The
in-depth
integration
technology
into
practice
will
advance
field
SZ,
ultimately
quality
life
outcomes
Advances in Human Biology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 8, 2025
Abstract
Orthodontic
treatment
planning
has
traditionally
relied
on
manual
assessments,
which
can
be
time-consuming
and
prone
to
errors.
The
integration
of
artificial
intelligence
(AI)
the
potential
revolutionise
this
process,
enhancing
accuracy
efficiency.
A
systematic
review
meta-analysis
were
conducted
evaluate
use
AI
in
orthodontic
planning.
Seven
databases
searched,
studies
selected
based
predetermined
criteria.
Bias
evaluation
was
performed
using
QUADAS-AI
tool.
revealed
a
significant
overall
effect
favour
AI-based
methods
determining
cephalometric
landmarks
(pooled
mean
difference
[MD]:
2.85,
95%
confidence
interval
[CI]:
1.48,
4.22)
teeth
segmentation
MD:
2.89,
CI:
1.53,
4.26).
Substantial
heterogeneity
observed
both
analyses,
indicating
differences
between
studies.
However,
results
suggest
that
demonstrate
superior
dental
imaging
assessments.
This
provide
evidence
for
efficiency
highlight
benefits
improving
speed
procedures,
as
well
its
augment
human
capabilities
Further
research
is
needed
develop
refine
systems
specific
applications.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(2), P. 893 - 893
Published: Jan. 17, 2025
Background:
In
recent
years,
there
has
been
remarkable
growth
in
AI-based
applications
healthcare,
with
a
significant
breakthrough
marked
by
the
launch
of
large
language
models
(LLMs)
such
as
ChatGPT
and
Google
Bard.
Patients
health
professional
students
commonly
utilize
these
due
to
their
accessibility.
The
increasing
use
LLMs
healthcare
necessitates
an
evaluation
ability
generate
accurate
reliable
responses.
Objective:
This
study
assessed
performance
answering
orthodontic-related
queries
through
systematic
review
meta-analysis.
Methods:
A
comprehensive
search
PubMed,
Web
Science,
Embase,
Scopus,
Scholar
was
conducted
up
31
October
2024.
quality
included
studies
evaluated
using
Prediction
model
Risk
Bias
Assessment
Tool
(PROBAST),
R
Studio
software
(Version
4.4.0)
employed
for
meta-analysis
heterogeneity
assessment.
Results:
Out
278
retrieved
articles,
10
were
included.
most
used
LLM
(10/10,
100%
papers),
followed
Google’s
Bard/Gemini
(3/10,
30%
Microsoft’s
Bing/Copilot
AI
(2/10,
20%
papers).
Accuracy
primarily
Likert
scales,
while
DISCERN
tool
frequently
applied
reliability
indicated
that
LLMs,
ChatGPT-4
other
models,
do
not
significantly
differ
generating
responses
related
specialty
orthodontics.
forest
plot
revealed
Standard
Mean
Deviation
0.01
[CI:
0.42–0.44].
No
observed
between
experimental
group
(ChatGPT-3.5,
Gemini,
Copilot)
control
(ChatGPT-4).
However,
exhibited
high
PROBAST
risk
bias
lack
standardized
tools.
Conclusions:
extensively
variety
tasks
demonstrated
advanced
encouraging
outcomes
compared
thus
can
be
regarded
valuable
enhancing
educational
learning
experiences.
While
responses,
is
compromised
absence
peer-reviewed
references,
necessitating
expert
oversight
applications.
The Angle Orthodontist,
Journal Year:
2024,
Volume and Issue:
94(6), P. 602 - 607
Published: Aug. 14, 2024
ABSTRACT
Objectives
To
evaluate
the
reliability
of
information
produced
by
artificial
intelligence-based
program
ChatGPT
in
terms
accuracy
and
relevance,
as
assessed
orthodontists,
dental
students,
individuals
seeking
orthodontic
treatment.
Materials
Methods
Frequently
asked
curious
questions
four
basic
areas
related
to
orthodontics
were
prepared
(Version
4.0),
answers
evaluated
three
different
groups
(senior
treatment,
orthodontists).
Questions
these
about:
clear
aligners
(CA),
lingual
(LO),
esthetic
braces
(EB),
temporomandibular
disorders
(TMD).
The
Global
Quality
Scale
(GQS)
Criteria
for
Consumer
Health
Information
(DISCERN)
scale.
Results
total
mean
DISCERN
score
on
CA
students
was
51.7
±
9.38,
patients
57.2
10.73
and,
orthodontists
47.4
4.78
(P
=
.001).
Comparison
GQS
scores
LO
among
groups:
(3.53
0.78),
(4.40
0.72),
(3.63
0.72)
<
Intergroup
comparison
evaluations
about
TMD
examined
scale,
with
highest
value
given
group
(57.83
11.47)
lowest
orthodontist
(45.90
11.84).
When
quality
evaluation
EB
examined,
it
>3
all
(students:
3.50
0.78;
patients:
4.17
0.87;
orthodontists:
0.82).
Conclusions
has
significant
potential
usability
patient
education
field
if
is
developed
necessary
updates
are
made.
International Journal of Environmental Research and Public Health,
Journal Year:
2024,
Volume and Issue:
21(6), P. 662 - 662
Published: May 22, 2024
Rheumatoid
arthritis
(RA)
can
lead
to
severe
joint
impairment
and
chronic
disability.
Primary
care
(PC),
provided
by
general
practitioners
(GPs),
is
the
first
level
of
contact
for
population
with
healthcare
system.
The
aim
this
scoping
review
was
analyze
approach
RA
in
PC
setting.
PubMed,
Scopus,
Web
Science
were
searched
using
MESH
terms
“rheumatoid
arthritis”
“primary
care”
from
2013
2023.
search
strategy
followed
PRISMA-ScR
guidelines.
61
articles
selected
analyzed
qualitatively
a
table
discussed
two
sections,
namely
criticisms
strategies
management
PC.
main
critical
issues
are
following:
difficulty
delay
diagnosis,
accessing
rheumatological
care,
DMARDs
GPs;
ineffective
communication
between
GPs
specialists;
poor
patient
education;
lack
cardiovascular
prevention;
increase
costs.
To
overcome
these
criticisms,
several
have
been
identified,
early
diagnosis
RA,
quick
access
rheumatology
effective
specialists,
active
involvement,
screening
risk
factors
comorbidities,
clinical
audit,
interdisciplinary
management,
digital
health,
cost
analysis.
appears
be
ideal
setting
reduce
morbidity
mortality
disease,
including
if
widespread
change
GPs’
disease
patients
mandatory.
Microorganisms,
Journal Year:
2024,
Volume and Issue:
12(8), P. 1506 - 1506
Published: July 23, 2024
The
investigation’s
goal
was
to
obtain
further
knowledge
about
the
connection
between
Herpes
Zoster
infection
and
dentistry
therapy
for
osteonecrosis
of
jaws,
combining
review
with
a
case
report
relevant
purpose.
It
is
important
study
this
association
because
it
possible
additional
factor
be
considered
in
causes
jaws.
We
limited
our
search
English-language
papers
published
1
January
2004
7
June
2024
PubMed,
Scopus,
Web
Science
that
were
topic.
In
approach,
Boolean
keywords
“Herpes
AND
osteonecros*”
used.
Results:
This
analyzed
148
from
Science,
resulting
95
articles
after
removing
duplicates.
Of
these,
49
removed
they
off
topic,
46
confirmed.
includes
qualitative
analysis
final
12
articles,
34
literature
highlights
severe
oral
complications
reactivation,
emphasizing
need
early
diagnosis,
comprehensive
management,
multidisciplinary
care.
Treatment
strategies
include
antiviral
therapy,
pain
surgical
debridement,
antibiotics.
Immunocompromised
individuals
require
vigilant
monitoring
balanced
immunosuppressive
therapy.
Further
research
needed
enhance
therapeutic
approaches.
Esprint Investigación,
Journal Year:
2025,
Volume and Issue:
4(1), P. 243 - 261
Published: March 17, 2025
En
los
últimos
años,
la
inteligencia
artificial
(IA)
ha
transformado
significativamente
el
campo
de
odontología
y,
en
ortodoncia,
las
posibles
aplicaciones
IA
pueden
ser
revolucionarias.
este
contexto,
presente
estudio
realizó
un
análisis
bibliométrico
para
evaluar
estado
actual
investigación
aplicada
a
identificando
tendencias
emergentes,
trabajos
influyentes
y
perspectivas
futuras.
Se
empleó
una
estrategia
búsqueda
base
datos
Scopus,
seleccionando
artículos
que
abordan
uso
ortodoncia.
Mediante
software
Bibliometrix
se
examinaron
1293
estudios,
analizando
evolución
producción
científica,
autores
más
influyentes,
revistas
mayor
impacto
palabras
clave
predominantes.
Los
resultados
evidenciaron
aumento
significativo
publicaciones
desde
2018,
alcanzando
su
punto
máximo
2024.
Las
investigaciones
centraron
diagnóstico
automatizado,
planificación
del
tratamiento
desarrollo
modelos
predictivos.
Estudios
claves
han
demostrado
potencial
redes
neuronales
segmentación
imágenes
dentales
cefalométrico.
China,
Estados
Unidos
Corea
Sur
lideran
mientras
Universidad
Sichuan
destaca
como
institución
prolífica.
futuras
sugieren
integración
personalización
tratamientos
automatización
procesos
clínicos,
con
énfasis
avanzados
aprendizaje
profundo.
Este
proporciona
visión
estructurada
puede
servir
investigaciones.
