Current Opinion in Ophthalmology,
Journal Year:
2024,
Volume and Issue:
35(6), P. 463 - 471
Published: Aug. 26, 2024
Myopia
is
one
of
the
major
causes
visual
impairment
globally,
with
myopia
and
its
complications
thus
placing
a
heavy
healthcare
economic
burden.
With
most
cases
developing
during
childhood,
interventions
to
slow
progression
are
effective
when
implemented
early.
To
address
this
public
health
challenge,
artificial
intelligence
has
emerged
as
potential
solution
in
childhood
management.
Ophthalmic and Physiological Optics,
Journal Year:
2024,
Volume and Issue:
44(6), P. 1224 - 1236
Published: July 9, 2024
Abstract
Purpose
To
optimise
the
precision
and
efficacy
of
orthokeratology,
this
investigation
evaluated
a
deep
neural
network
(DNN)
model
for
lens
fitting.
The
objective
was
to
refine
standardisation
fitting
procedures
curtail
subjective
evaluations,
thereby
augmenting
patient
safety
in
context
increasing
global
myopia.
Methods
A
retrospective
study
successful
orthokeratology
treatment
conducted
on
266
patients,
with
449
eyes
being
analysed.
DNN
an
80%–20%
training‐validation
split
predicted
parameters
(curvature,
power
diameter)
using
corneal
topography
refractive
indices.
featured
two
hidden
layers
precision.
Results
achieved
mean
absolute
errors
0.21
D
alignment
curvature
(AC),
0.19
target
(TP)
0.02
mm
diameter
(LD),
R
2
values
0.97,
0.95
0.91,
respectively.
Accuracy
decreased
myopia
less
than
1.00
D,
astigmatism
exceeding
2.00
curvatures
>45.00
D.
Approximately,
2%
cases
unique
physiological
characteristics
showed
notable
prediction
variances.
Conclusion
While
exhibiting
high
accuracy,
model's
limitations
specifying
myopia,
cylinder
highlight
need
algorithmic
refinement
clinical
validation
practice.
Nature and Science of Sleep,
Journal Year:
2023,
Volume and Issue:
Volume 15, P. 993 - 1001
Published: Nov. 1, 2023
To
identify
potential
demographic
and
lifestyle
factors
associated
with
progression
of
myopia
orthokeratology
(ortho-k)
treatment
via
follow-up
axial
length
(AL).In
this
retrospective
observational
study,
demographics,
ocular
parameters,
near-work
distance,
outdoor
activities,
sleep
quality
were
analyzed
in
134
children
aged
8~15
years
using
ortho-k
a
for
one
year.Compared
the
slow
group,
participants
fast
group
younger
age
(10.55
±1.70
vs
9.90
±1.18
years,
P
=
0.009),
demonstrated
higher
spherical
equivalent
(SE)
value
(-2.52
±0.63
diopters
(D)
-3.05
±0.89
D,
<
0.001),
shorter
distance
(P
0.010),
poorer
(Pittsburgh
index
[PSQI],
4.79
±1.29
3.81
±1.38,
0.001)
one-year
follow-up.
Furthermore,
multivariate
linear
regression
analyses
showed
that
baseline
(B
=-0.020,
0.020),
SE
0.0517,
total
PSQI
(B=0.026,
elongation.
Advanced
logistic
average
0.034),
0.023),
0.003)
elongation.Sleep
is
key
elongation
after
year.
Further
studies
are
required
to
confirm
observation
expand
its
practical
applications.
Anales de Pediatría (English Edition),
Journal Year:
2024,
Volume and Issue:
100(3), P. 195 - 201
Published: March 1, 2024
This
article
examines
the
use
of
artificial
intelligence
(AI)
in
field
paediatric
care
within
framework
7P
medicine
model
(Predictive,
Preventive,
Personalized,
Precise,
Participatory,
Peripheral
and
Polyprofessional).
It
highlights
various
applications
AI
diagnosis,
treatment
management
diseases
as
well
role
prevention
efficient
health
resources
resulting
impact
on
sustainability
public
systems.
Successful
cases
application
setting
are
presented,
placing
emphasis
need
to
move
towards
a
model.
Artificial
is
revolutionizing
society
at
large
has
great
potential
for
significantly
improving
care.
Se
examina
el
uso
de
la
inteligencia
(IA)
en
campo
atención
salud
pediátrica
dentro
del
marco
"Medicina
las
7P"
(Predictiva,
Preventiva,
Personalizada,
Precisa,
Participativa,
Periférica
y
Poliprofesional).
destacan
diversas
aplicaciones
IA
diagnóstico,
tratamiento
control
enfermedades
pediátricas,
así
como
su
papel
prevención
gestión
eficiente
los
recursos
médicos
con
repercusión
sostenibilidad
sistemas
públicos
salud.
presentan
casos
éxito
aplicación
ámbito
pediátrico
se
hace
un
gran
énfasis
necesidad
caminar
hacia
Medicina
7P.
La
está
revolucionando
sociedad
general
ofreciendo
potencial
para
mejorar
significativamente
cuidado
pediatría.
Ophthalmology and Therapy,
Journal Year:
2024,
Volume and Issue:
13(7), P. 2009 - 2022
Published: June 1, 2024
Previous
studies
have
explored
the
connections
between
various
ocular
biological
parameters
with
myopia.
Our
previous
study
also
found
that
pupil
data
can
predict
myopic
progression
during
interventions
for
However,
exploring
association
diameter
and
myopia
in
preschoolers
were
lacking.
Hence
this
was
aimed
to
investigate
based
on
a
real-world,
large-scale
dataset.
Current Opinion in Ophthalmology,
Journal Year:
2024,
Volume and Issue:
35(6), P. 463 - 471
Published: Aug. 26, 2024
Myopia
is
one
of
the
major
causes
visual
impairment
globally,
with
myopia
and
its
complications
thus
placing
a
heavy
healthcare
economic
burden.
With
most
cases
developing
during
childhood,
interventions
to
slow
progression
are
effective
when
implemented
early.
To
address
this
public
health
challenge,
artificial
intelligence
has
emerged
as
potential
solution
in
childhood
management.
